#
Neural networks (Computer science)
Resource Information
The concept ** Neural networks (Computer science)** represents the subject, aboutness, idea or notion of resources found in **University of Missouri Libraries**.

The Resource
Neural networks (Computer science)
Resource Information

The concept

**Neural networks (Computer science)**represents the subject, aboutness, idea or notion of resources found in**University of Missouri Libraries**.- Label
- Neural networks (Computer science)

## Context

Context of Neural networks (Computer science)#### Subject of

- 1991 technical report
- A Boltzmann machine neural network for packet routing in a computer network
- A comparative robustness evaluation of feedforward neurofilters
- A comparative study of surrogate musculoskeletal models using various neural network configurations
- A comparison of near-infrared and visible imaging for surveillance applications
- A comparison of the modeling and generalization capabilities of the multilayer perceptron and fuzzy clustering methods
- A control-theoretical fault prognostics and accommodation framework for a class of nonlinear discrete-time systems
- A field guide to dynamical recurrent networks
- A first course in fuzzy logic
- A guide to neural computing applications
- A neural network approach to fluid quantity measurement in dynamic environments
- A neural network architecture for implementation of expert systems for real time monitoring
- A neural network-based estimator for the mixture ratio of the space shuttle main engine
- A neural network-based system to identify computer users
- A new constraint-based algorithm to learn Bayesian network structure from data : Control of Spurious Pairwise Information (CSPI)
- A novel approach to noise-filtering based on a gain-scheduling neural network architecture
- A novel neural network control architecture for a class of periodically time-varying nonlinear systems
- A real time neural net estimator of fatigue life
- A real-time implementation of a neural-network controller for industrial robotics
- A review and analysis of neural networks for classification of remotely sensed multispectral imagery
- A space-time neural network for processing both spacial and temporal data
- A theory of learning and generalization : with applications to neural networks and control systems
- Active labeling in deep learning and its application to emotion prediction
- Active power line conditioner with neural network control
- Adaptive learning of polynomial networks : genetic programming, backpropagation and Bayesian methods
- Adaptive modelling, estimation, and fusion from data : a neurofuzzy approach
- Adaptive neural network control of robotic manipulators
- Adaptive pattern recognition and neural networks
- Adaptive processing of sequences and data structures : International Summer School on Neural Networks "E.R. Caianiello" Vietri sul Mare, Salerno, Italy, September 6-13 1997, tutorial lectures
- Adaptive processing of sequences and data structures : International Summer School on Neural Networks "E.R. Caianiello" Vietri sul Mare, Salerno, Italy, September 6-13, 1997 : tutorial lectures
- Advanced controller design using neural networks for nonlinear dynamic systems with application to micro/nano robotics
- Advanced fuzzy systems design and applications
- Advances in control networks and large scale parallel distributed processing models
- Advances in fuzzy logic, neural networks, and genetic algorithms : IEEE/Nagoya University World Wisepersons Workshop, Nagoya, Japan, August 9-10, 1994 : selected papers
- Advances in fuzzy logic, neural networks, and genetic algorithms : IEEE/Nagoya-University World Wisepersons Workshop, Nagoya, Japan, August 9-10, 1994 : selected papers
- Advances in the Dempster-Shafer theory of evidence
- An Introduction to neural and electronic networks
- An algebraic approach to the autonomously self-adaptable Boolean neutral nets
- An artificial neural network simulation of tank trucks
- An evaluation study of traditional and neural network techniques for histogram image processing applications
- An evolutionary method for training autoencoders for Deep Learning Networks
- An information-theoretic approach to neural computing
- An introduction to Bayesian networks
- An introduction to neural networks
- An introduction to the modelling of neural networks
- An introduction to the theory of spin glasses and neural networks
- Analog VLSI circuits for the perception of visual motion
- Analog VLSI circuits for the perception of visual motion
- Analog VLSI integration of massive parallel signal processing systems
- Analog hardware for learning neural networks
- Analogue imprecision in MLP training
- Analogue neural VLSI : a pulse stream approach
- Analysis of dynamical and cognitive systems : advanced course, Stockholm, Sweden, August 9-14, 1993 : proceedings
- Analysis of fault-tolerant neurocontrol architectures
- Analysis of lesion border segmentation using watershed algorithm
- Analyzing neural time series data : theory and practice
- Application of a neural network as a potential aid in predicting NTF pump failure
- Application of artificial neural networks in nonlinear analysis of trusses
- Application of artificial neural networks to the design optimization of aerospace structural components
- Application of autoassociative neural networks to health monitoring of the CAT 7 diesel engine
- Application of fuzzy logic-neural network based reinforcement learning to proximity and docking operations
- Application of fuzzy logic-neural network based reinforcement learning to proximity and docking operations : attitude control results
- Application of fuzzy logic-neural network based reinforcement learning to proximity and docking operations : special approach/docking testcase results
- Application of fuzzy logic-neural network based reinforcement learning to proximity and docking operations : translational controller results
- Application of neural networks to adaptive control of nonlinear systems
- Application of neural networks to modelling and control
- Applications of neural adaptive control technology
- Applications of neural networks
- Applied neural networks for signal processing
- Applying neural networks : a practical guide
- Artificial immune systems : a new computational intelligence approach
- Artificial intelligence and molecular biology
- Artificial intelligence and neural networks : steps toward principled integration
- Artificial intelligence in finance & investing : state-of-the-art technologies for securities selection and portfolio management
- Artificial intelligence systems for water treatment plant optimization
- Artificial neural network approach to predict blast-induced ground vibration, airblast and rock fragmentation
- Artificial neural network implementation of a near-ideal error prediction controller
- Artificial neural networks : an introduction to ANN theory and practice
- Artificial neural networks : an introduction to ANN theory and practice
- Artificial neural networks : approximation and learning theory
- Artificial neural networks : concept learning
- Artificial neural networks : learning algorithms, performance evaluation, and applications
- Artificial neural networks : methods and applications
- Artificial neural networks : paradigms, applications, and hardware implementations
- Artificial neural networks and statistical pattern recognition : old and new connections
- Artificial neural networks for civil engineers : advanced features and applications
- Artificial neural networks for civil engineers : fundamentals and applications
- Artificial neural networks for computer vision
- Artificial neural networks for image understanding
- Artificial neural networks for intelligent manufacturing
- Artificial neural networks for modelling and control of non-linear systems
- Artificial neural networks for speech analysis/synthesis
- Artificial neural networks for speech and vision
- Artificial neural networks for the modelling and fault diagnosis of technical processes
- Artificial neural networks in vehicular pollution modelling
- Artificial neuronal networks : application to ecology and evolution
- Associative neural memories : theory and implementation
- Automated feature generation for handwritten digit recognition by neural networks
- Automated screening of propulsion system test data by neural networks, phase 1 : final report
- Automatic generation of neural network architecture using evolutionary computation
- Automatic learning rate adjustment for self-supervising autonomous robot control
- Automatic modulation recognition of communication signals
- Autoplan : a self-processing network model for an extended blocks world planning environment
- Bayesian learning for neural networks
- Bayesian networks : an introduction
- Bayesian networks and decision graphs
- Bayesian nonparametrics via neural networks
- Bio-inspired emergent control of locomotion systems.
- Bioinformatics : the machine learning approach
- Bioinformatics : the machine learning approach
- Biological neural networks in invertebrate neuroethology and robotics
- Business applications of neural networks : the state-of-the-art of real-world applications
- CMAC addressing technique based learning structures
- Calibration of a shock wave position sensor using artificial neural networks
- Cascaded VLSI neural network architecture for on-line learning
- Cellular neural network virtual machine for graphics hardware with applications in image processing
- Cellular neural networks : chaos, complexity and VLSI processing
- Cellular neural networks : dynamics and modelling
- Cellular neural networks and visual computing : foundation and applications
- Circuit complexity and neural networks
- Classical and neural net control and identification of non-linear systems with application to the two-joint inverted pendulum control problem
- Clustering : Methodology, hybrid systems, visualization, validation and implementation
- Code recognition and set selection with neural networks
- Cognizers : neural networks and machines that think
- Common LISP modules : artificial intelligence in the era of neural networks and chaos theory
- Compensatory genetic fuzzy neural networks and their applications
- Competitively inhibited neural networks for adaptive parameter estimation
- Complex valued nonlinear adaptive filters : noncircularity, widely linear and neural models
- Complex-valued neural networks
- Complex-valued neural networks with multi-valued neurons
- Component failure rate prediction using a backpropagation neural network
- Compressor valve failure detection and prognostics
- Computation in cells and tissues : perspectives and tools of thought
- Computational architectures integrating neural and symbolic processes : a perspective on the state of the art
- Computational ecology : artificial neural networks and their applications
- Computational intelligence : an introduction
- Computational intelligence : an introduction
- Computational intelligence based complex adaptive system-of-systems architecture evolution strategy
- Computational intelligence in control
- Computational neural models at molecular, cellular and behavioral levels : three case studies
- Concepts for neural networks : a survey
- Concurrent learning and information processing : a neuro-computing system that learns during monitoring, forecasting, and control
- Connection pruning algorithms and their comparison with the standard back-progagation algorithm
- Connectionist speech recognition : a hybrid approach
- Connectionist-symbolic integration : from unified to hybrid approaches
- Constructive neural networks
- Control of a single-link flexible robot arm using neural networks
- Control of flexible-link manipulators using neural networks
- Control of systems with uncertainties
- Control of wind tunnel operations using neural net interpretation of flow visualization records
- Convergence analysis of recurrent neural networks
- Cooperative behavior in neural systems : ninth Granada lectures : Granada, Spain, 11-15 September 2006
- Corticonics : neural circuits of the cerebral cortex
- Dealing with complexity : a neural networks approach
- Decentralized adaptive neural network control of interconnected nonlinear dynamical systems with application to power system
- Deep Belief Nets in C++ and CUDA C, Volume 1, Restricted Boltzmann machines and supervised feedforward networks
- Deep fusion of computational and symbolic processing
- Deep learning : a practitioner's approach
- Deep learning : practical neural networks with Java : build and run intelligent applications by leveraging key Java machine learning libraries : a course in three modules
- Deep learning quick reference : useful hacks for training and optimizing deep neural networks with TensorFlow and Keras
- Deep learning with Keras : implement neural networks with Keras on Theano and TensorFlow
- Deep learning with PyTorch : a practical approach to building neural network models using PyTorch
- Definition and utilization of spatial relations in high level computer vision
- Definition and utilization of spatial relations in high level computer vision
- Delay learning in artificial neural networks
- Design and evaluation of a robust dynamic neurocontroller for a multivariable aircraft control problem
- Developing neural network applications using LabVIEW
- Development of a sensor coordinated kinematic model for neural network controller training
- Development of a tire/pavement contact-stress model based on artificial neural networks
- Development of web-accessible database application for neural network processing
- Differential neural networks for robust nonlinear control : identification, state estimation and trajectory tracking
- Discrete-time inverse optimal control for nonlinear systems
- Distributed memory approaches for robotic neural controllers
- Dynamic modeling and control issues for a flexible link
- Dynamic neural field theory for motion perception
- Dynamical systems with saturation nonlinearities : analysis and design
- E-commerce and intelligent methods
- Elements of artificial neural networks
- Emergent neural computational architectures based on neuroscience : towards neuroscience-inspired computing
- Emergent neural computational architectures based on neuroscience : towards neuroscience-inspired computing
- Enchanted looms : conscious networks in brains and computers
- Energy efficient wireless sensor network protocols for monitoring and prognostics of large scale systems
- Energy management in electric vehicles : Development and validation of an optimal driving strategy
- Estimating water temperatures in small streams in western Oregon using neural network models
- Evaluating intelligent transportation systems, advanced traveler information systems, and other artificial intelligence applications : planning and administration
- Evaluation of multistage feature-based neural network classifiers
- Event sampled optimal adaptive regulation of linear and a class of nonlinear systems
- Event-sampled direct adaptive neural network control of uncertain strict-feedback system with application to quadrotor unmanned aerial vehicle
- Evolutionary learning algorithms for neural adaptive control
- Exploring neural networks with Câ™¯
- FPGA implementation of PSO algorithm and neural networks
- Faithful representations and topographic maps : from distortion-to information-based self-organization
- Fast temporal neural learning using teacher forcing
- Fault analysis of space station DC power systems using neural network adaptive wavelets to detect faults
- Fault tolerance of artificial neural networks with applications in critical systems
- Fault-tolerance of a neural network solving the Traveling Salesman Problem
- Feed-forward neural networks : vector decomposition analysis, modelling, and analog implementation
- Feedforward neural network methodology
- Flexible basis function neural networks for efficient analog implementations
- Flexible body control using neural networks : final report
- Flexible neuro-fuzzy systems : structures, learning, and performance evaluation
- Food process control based on sensory evaluations
- Foreign-exchange-rate forecasting with artificial neural networks
- Formation control of mobile robots and unmanned aerial vehicles
- Foundations of neural networks, fuzzy systems, and knowledge engineering
- Foundations of neuro-fuzzy systems
- Fully tuned radial basis function neural networks for flight control
- Functional approximation using artificial neural networks in structural mechanics
- Functional networks with applications : a neural-based paradigm
- Fundamentals of deep learning : designing next-generation machine intelligence algorithms
- Fundamentals of neural networks : architectures, algorithms, and applications
- Fusion of neural networks, fuzzy sets, and genetic algorithms : industrial applications
- Fuzzy aggregation networks of hybrid units with generalized Yager operators and their applications to function approximation and decision making
- Fuzzy and neural : interactions and applications
- Fuzzy and neuro-fuzzy intelligent systems
- Fuzzy engineering expert systems with neural network applications
- Fuzzy learning and applications
- Fuzzy logic and intelligent systems
- Fuzzy logic and soft computing
- Fuzzy model identification : selected approaches
- Fuzzy neural intelligent systems : mathematical foundation and the applications in engineering
- Fuzzy neural network theory and application
- Fuzzy sets engineering
- Fuzzy-neuro approach to agent applications : from the AI perspective to modern ontology
- Genetic algorithms in engineering and computer science
- Getting started with deep learning
- Gray scale image enhancement using neural networks
- Ground-state coding in partially connected neural networks
- Hardware annealing in analog VLSI neurocomputing
- Hardware implementation of intelligent systems
- Hebbian learning and negative feedback networks
- High level cognitive information processing in neural networks : final report, grant period 1 February 1989 - 31 December 1992
- High level connectionist models
- High-Level feedback control with neural networks
- Human face recognition using third-order synthetic neural networks
- Hybrid digital signal processing and neural networks for automated diagnostics using NDE methods
- Hybrid intelligent engineering systems
- Hybrid intelligent systems
- Hybrid methods in pattern recognition
- Hybrid multivariate classification technique and its application in tissue image analysis
- Hybrid neural network and expert systems
- Hybrid neural systems
- Hybrid neural systems
- Identification of nonlinear systems using neural networks and polynomial models : a block-oriented approach
- Image processing using pulse-coupled neural networks
- Image processing using pulse-coupled neural networks
- Implementation of an automatic real-time statistical process controller
- Improving shared weight neural networks generalization using regularization theory and entropy maximization
- Improving shared weight neural networks generalization using regularization theory and entropy maximization
- Independent component analysis : a tutorial introduction
- Independent component analysis : principles and practice
- Industrial image processing : visual quality control in manufacturing
- Information dynamics in cognitive, psychological, social, and anomalous phenomena
- Information theoretic neural computation
- Information-theoretic aspects of neural networks
- Innovations in ART neural networks
- Intelligence and artificial intelligence : an interdisciplinary debate
- Intelligent control : a hybrid approach based on fuzzy logic, neural networks and genetic algorithms
- Intelligent control based on flexible neural networks
- Intelligent hybrid systems : fuzzy logic, neural networks, and genetic algorithms
- Intelligent methods in signal processing and communications
- Intelligent systems : approximation by artificial neural networks
- Intelligent systems and financial forecasting
- Intelligent systems and signal processing in power engineering
- Intelligent visual inspection : using artificial neural networks
- Introducing neural networks
- Introduction to artificial neural systems
- Introduction to neural and cognitive modeling
- Introduction to neural and cognitive modeling
- Inverse kinematics problem in robotics using neural networks
- Investigation of automated task learning, decomposition and scheduling
- Is thinking computable?
- Isospectral transformations : a new approach to analyzing multidimensional systems and networks
- Iterative learning control for deterministic systems
- Knowledge-based neurocomputing : a fuzzy logic approach
- Kohonen maps
- Land cover classification from SPOT multispectral and panchromatic images using neural network classification of fuzzy clustered spectral and textural features
- Learning Bayesian networks
- Learning algorithms : theory and applications in signal processing, control, and communications
- Learning and coordination : enhancing agent performance through distributed decision making
- Learning systems
- Learning with recurrent neural networks
- Linear and nonlinear iterative learning control
- Lyapunov based optimal control of a class of nonlinear systems
- MATLAB deep learning : with machine learning, neural networks and artificial intelligence
- Material data representation of hysteresis loops for Hastelloy X using artificial neural networks
- Mechanisms in classical conditioning : a computational approach
- Mechanisms of implicit learning : connectionist models of sequence processing
- Medical data mining using adaptive resonance theory (ART-1)
- Memory-based learning structure : learning covergence [sic], network structures and training techniques
- Metaheuristic procedures for training neural networks
- Methodologies of using neural network and fuzzy logic technologies for motor incipient fault detection
- Modeling and control of a two-link flexible manipulator
- Modeling and prediction of thermally induced errors in machine tools using a laser ball bar and a neural network
- Modeling network traffic on a global network-centric system with artificial neural networks
- Modelling and control of dynamic nonlinear systems using DRNN
- Models in neural networks
- Models of massive parallelism : analysis of cellular automata and neural networks
- Models of neural networks I
- Models of neural networks II : temporal aspects of coding and information processing in biological systems
- Modular neural networks and type-2 fuzzy systems for pattern recognition
- Multi-valued and universal binary neurons : theory, learning, and applications
- Multiple-input multiple-output wireless communications with imperfect channel knowledge
- Natural and artificial parallel computation
- Nested neural networks
- Network management with smart systems
- Network science / Committee on Network Science for Future Army Applications, Board on Army Science and Technology, Division on Engineering and Physical Sciences, National Research Council
- Neural adaptive control systems
- Neural and adaptive systems : fundamentals through simulations
- Neural and fuzzy logic control of drives and power systems
- Neural and intelligent systems integration : fifth and sixth generation integrated reasoning information systems
- Neural computation in Hopfield networks and Boltzmann machines
- Neural computing for optimization and combinatorics
- Neural fuzzy control systems with structure and parameter learning
- Neural information processing and VLSI
- Neural nets : 13th Italian Workshop on Neural Nets, WIRN VIETRI 2002, Vietri Sul Mare, Italy, May 30-June 1, 2002 : revised papers
- Neural nets : a theory for brains and machines
- Neural nets : a theory for brains and machines
- Neural nets and chaotic carriers
- Neural nets, WIRN Vietri-96 : proceedings of the 8th Italian Workshop on Neural Nets, Vietri sul Mare, Salerno, Italy, 23-25 May 1996
- Neural network analysis, architectures, and applications
- Neural network and fuzzy logic applications in C/C++
- Neural network and fuzzy logic methods for power electronic control
- Neural network application to aircraft control system design
- Neural network computing applied to industrial problems : a machine assignment problem
- Neural network control : theory and applications
- Neural network control of nonlinear discrete-time systems
- Neural network control of nonstrict feedback and nonaffine nonlinear discrete-time systems with application to engine control
- Neural network control of robot manipulators and nonlinear systems
- Neural network learning and expert systems
- Neural network model of building energy requirements
- Neural network modeling : statistical mechanics and cybernetic perspectives
- Neural network modeling of nonlinear systems based on Volterra series extension of a linear model
- Neural network models : an analysis
- Neural network parallel computing
- Neural network perception for mobile robot guidance
- Neural network perspectives on cognition and adaptive robotics
- Neural network programming with Java : unleash the power of neural networks by implementing professional Java code
- Neural network simulation environments
- Neural network time series forecasting of financial markets
- Neural network training using genetic algorithms
- Neural network with dynamically adaptable neurons
- Neural network-based state estimation of nonlinear systems : application to fault detection and isolation
- Neural networks
- Neural networks
- Neural networks : a comprehensive foundation
- Neural networks : advances and applications
- Neural networks : advances and applications, 2
- Neural networks : an introduction
- Neural networks : computers with intuition
- Neural networks : current applications
- Neural networks : methodology and applications
- Neural networks : theoretical foundations and analysis
- Neural networks : theory and applications
- Neural networks : tricks of the trade
- Neural networks : tricks of the trade
- Neural networks : what non-linearity to choose
- Neural networks and MIMD-multiprocessors
- Neural networks and analog computation : beyond the turing limit
- Neural networks and animal behavior
- Neural networks and computing : learning algorithms and applications
- Neural networks and fuzzy systems : a dynamical systems approach to machine intelligence
- Neural networks and fuzzy systems : theory and applications
- Neural networks and intellect : using model-based concepts
- Neural networks and learning machines
- Neural networks and micromechanics
- Neural networks and pattern recognition
- Neural networks and psychopathology : connectionist models in practice and research
- Neural networks and speech processing
- Neural networks and statistical learning
- Neural networks and systolic array design
- Neural networks and the financial markets : predicting, combining, and portfolio optimisation
- Neural networks and their applications
- Neural networks application to divergence-based passive ranging
- Neural networks for applied sciences and engineering : from fundamentals to complex pattern recognition
- Neural networks for calibration tomography
- Neural networks for chemical engineers
- Neural networks for conditional probability estimation : forecasting beyond point predictions
- Neural networks for control and systems
- Neural networks for financial forecasting
- Neural networks for financial markets analyses and options valuation
- Neural networks for identification, prediction, and control
- Neural networks for intelligent signal processing
- Neural networks for modelling and control of dynamic systems : a practitioner's handbook
- Neural networks for optimization and signal processing
- Neural networks for pattern recognition
- Neural networks for pattern recognition
- Neural networks for perception
- Neural networks for statistical modeling
- Neural networks in a softcomputing framework
- Neural networks in chemical reaction dynamics
- Neural networks in chemistry and drug design
- Neural networks in design and manufacturing
- Neural networks in finance and investing : using artificial intelligence to improve real-world performance
- Neural networks in organizational research : applying pattern recognition to the analysis of organizational behavior
- Neural networks in telecommunications
- Neural networks in the analysis and design of structures
- Neural networks in transport applications
- Neural networks theory
- Neural systems for robotics
- Neural-network dedicated processor for solving competitive assignment problems
- Neural-network directed alignment of optical systems using the laser-beam spatial filter as an example
- Neural-symbolic cognitive reasoning
- Neural-symbolic learning systems : foundations and applications
- Neuro-control and its applications
- Neuro-dynamic programming
- Neuro-fuzzy and soft computing : a computational approach to learning and machine intelligence
- Neuro-fuzzy techniques for intelligent information systems
- Neurobionics : an interdisciplinary approach to substitute impaired functions of the human nervous system
- Neurocontrol : towards an industrial control methodology
- Neurofuzzy adaptive modelling and control
- Neuromorphic learning of continuous-valued mappings from noise-corrupted data : application to real-time adaptive control
- Neuromorphic systems engineering : neural networks in silicon
- Neurotechnology for biomimetic robots
- New soft computing techniques for system modelling, pattern classification and image processing
- Nonlinear dynamical systems : feedforward neural network perspectives
- Nonlinear identification and control : a neural network approach
- Nonvolatile programmable neural network synaptic array
- Object-oriented neural networks in C++
- On-line learning in neural networks
- Optical signal processing, computing, and neural networks
- Optimal control of a helicopter unmanned aerial vehicle (UAV)
- Optimal space station solar array gimbal angle determination via radial basis function neural networks
- Optimality in biological and artificial networks?
- Optimization of a multi-layer perceptron neural network for stock market forecasting
- Ordinary morphology neural networks for automatic target recognition
- Outcome prediction in cancer
- Parallel VLSI neural system design
- Parallel architectures for artificial neural networks : paradigms and implementations
- Parallel digital implementations of neural networks
- Parallel implementations of backpropagation neural networks on transputers : a study of training set parallelism
- Pattern classification : neuro-fuzzy methods and their comparison
- Pattern recognition and neural networks
- Pattern recognition using neural networks : theory and algorithms for engineers and scientists
- Physical models of neural networks
- Practical Convolutional Neural Networks : Implement advanced deep learning models using Python
- Predicting diameter distributions of longleaf pine plantations : a comparison between artificial neural networks and other accepted methodologies
- Prediction control development for food extrusion processes
- Predictive modular neural networks : applications to time series
- Pricing options with futures-style margining : a genetic adaptive neural network approach
- Principal component neural networks : theory and applications
- Principles of artificial neural networks
- Process neural networks : theory and applications
- Progress in neural networks
- Pyramidal neural networks
- Python Deep Learning
- Qualitative analysis and synthesis of recurrent neural networks
- R deep learning cookbook : solve complex neural net problems with TensorFlow, H2O and MXNet
- Radial basis function networks 1 : recent developments in theory and applications
- Radial basis function networks 2 : new advances in design
- Radial basis function neural networks with sequential learning : MRAN and its applications
- Recent advances in artificial neural networks : design and applications
- Recent advances in intelligent control systems
- Recurrent neural networks : design and applications
- Recurrent neural networks for prediction : learning algorithms, architectures, and stability
- Recursive neural networks for associative memory
- Reinforcement learning with TensorFlow : a beginner's guide to designing self-learning systems with TensorFlow and OpenAI Gym
- Reinforcement-learning based output-feedback controller for nonlinear discrete-time system with application to spark ignition engines operating lean and EGR
- Relationship between the performance of multilayer neural network pattern classifiers and the statistics of pattern generating processes
- Robotic gait synthesis and control design using neural and fuzzy networks approaches
- Scene segmentation of natural images using texture measures and back-propagation
- Second-order methods for neural networks : fast and reliable training methods for multi-layer perceptrons
- Self-growing neural network architecture using crisp and fuzzy entropy
- Self-organising neural networks : independent component analysis and blind source separation
- Self-organizing maps
- Self-organizing maps
- Self-organizing neural networks : recent advances and applications
- Sensitivity analysis for neural networks
- Sensitivity of multilayer neural network classifiers to random variation in weights and biases
- Silicon implementation of pulse coded neural networks
- Soft computing in design and manufacturing of advanced materials
- Solving problems in environmental engineering and geosciences with artificial neural networks
- Spatial-temporal reasoning applications of computational intelligence in the game of Go and computer networks
- Stable adaptive neural network control
- Static and dynamic neural networks : from fundamentals to advanced theory
- Statistical and evolutionary analysis of biological networks
- Statistical and neural classifiers : an integrated approach to design
- Statistical mechanics of learning
- Statistical methods and neural network approaches for classification of data from multiple sources
- Statistical physics, automata networks, and dynamical systems
- Statistics and neural networks : advances at the interface
- Strategies for feedback linearisation : a dynamic neural network approach
- Structure level adaptation for artificial neural networks
- Subsymbolic natural language processing : an integrated model of scripts, lexicon, and memory
- Supervised and unsupervised pattern recognition : feature extraction and computational intelligence
- Synergetic computers and cognition : a top-down approach to neural nets
- Synergetic computers and cognition : a top-down approach to neural nets
- Talking nets : an oral history of neural networks
- Techniques and applications of neural networks
- The Adaptive neuron model : an architecture for the rapid learning of nonlinear topological transformations
- The Neurobiology of neural networks
- The application of neural networks to the SSME startup transient
- The book of GENESIS : exploring realistic neural models with the GEneral NEural SImulation System
- The harmonic mind : from neural computation to optimality-theoretic grammar
- The making of a neuromorphic visual system
- The optimization of force inputs for active structural acoustic control using a neural network
- The perception of multiple objects : a connectionist approach
- The promise of neural networks
- The roots of backpropagation : from ordered derivatives to neural networks and political forecasting
- The second age of computer science : from ALGOL genes to neural nets
- Theoretical advances in neural computation and learning
- Theoretical mechanics of biological neural networks
- Theory of neural information processing systems
- Three phase active rectifier harmonic current minimization
- Total recall : how the E-memory revolution will change everything
- Total recall in distributive associative memories
- Toward a more robust pruning procedure for MLP networks
- Trading on the edge : neural, genetic, and fuzzy systems for chaotic and financial markets
- Traffic control and transport planning : a fuzzy sets and neural networks approach
- Training neural pattern classifers with a mean field theory learning algorithm
- Turing's connectionism : an investigation of neural network architectures
- Two neural network algorithms for designing optimal terminal controllers with open final-time
- Two-dimensional high-lift aerodynamic optimization using neural networks
- Ultra low-power integrated circuit design for wireless neural interfaces
- Uncertainty analysis in engineering and sciences : fuzzy logic, statistics, and neural network approach
- Universality and emergent computation in cellular neural networks
- Use of artificial neural networks in geomechanical and pavement systems
- User's guide for NETS/PROSSS
- Using destructive solid geometry approach to ART1 neural network for design retrieval
- Using destructive solid geometry approach to ART1 neural network for design retrieval
- Using neural networks and Dyna algorithm for integrated planning, reacting and learning in systems
- Using neural networks for three-dimensional measurement in stereo vision systems
- Using neural networks in software repositories
- Using neural networks to correlate satellite imagery and ground- truth data
- VLSI artificial neural networks engineering
- VLSI neural network systems
- VLSI-compatible implementations for artificial neural networks
- Vector space projections : a numerical approach to signal and image processing, neural nets, and optics
- Visual explorations in finance : with self-organizing maps
- Wavelet neural networks : with applications in financial engineering, chaos, and classification
- Wavelet neural networks : with applications in financial engineering, chaos, and classification
- Wind power plant prediction by using neural networks : preprint

## Embed (Experimental)

### Settings

Select options that apply then copy and paste the RDF/HTML data fragment to include in your application

Embed this data in a secure (HTTPS) page:

Layout options:

Include data citation:

<div class="citation" vocab="http://schema.org/"><i class="fa fa-external-link-square fa-fw"></i> Data from <span resource="http://link.library.missouri.edu/resource/3LyspnMhOzs/" typeof="CategoryCode http://bibfra.me/vocab/lite/Concept"><span property="name http://bibfra.me/vocab/lite/label"><a href="http://link.library.missouri.edu/resource/3LyspnMhOzs/">Neural networks (Computer science)</a></span> - <span property="potentialAction" typeOf="OrganizeAction"><span property="agent" typeof="LibrarySystem http://library.link/vocab/LibrarySystem" resource="http://link.library.missouri.edu/"><span property="name http://bibfra.me/vocab/lite/label"><a property="url" href="http://link.library.missouri.edu/">University of Missouri Libraries</a></span></span></span></span></div>

Note: Adjust the width and height settings defined in the RDF/HTML code fragment to best match your requirements

### Preview

## Cite Data - Experimental

### Data Citation of the Concept Neural networks (Computer science)

Copy and paste the following RDF/HTML data fragment to cite this resource

`<div class="citation" vocab="http://schema.org/"><i class="fa fa-external-link-square fa-fw"></i> Data from <span resource="http://link.library.missouri.edu/resource/3LyspnMhOzs/" typeof="CategoryCode http://bibfra.me/vocab/lite/Concept"><span property="name http://bibfra.me/vocab/lite/label"><a href="http://link.library.missouri.edu/resource/3LyspnMhOzs/">Neural networks (Computer science)</a></span> - <span property="potentialAction" typeOf="OrganizeAction"><span property="agent" typeof="LibrarySystem http://library.link/vocab/LibrarySystem" resource="http://link.library.missouri.edu/"><span property="name http://bibfra.me/vocab/lite/label"><a property="url" href="http://link.library.missouri.edu/">University of Missouri Libraries</a></span></span></span></span></div>`