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

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

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- 1991 technical report
- 2003 IEEE International Conference on Fuzzy Systems
- 2015 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE)
- 2015 International Joint Conference on Neural Networks (IJCNN)
- 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 Processing of Sequences and Data Structures : International Summer School on Neural Networks (3z (BE. R. Caianiello (3y (B Vietri sul Mare, Salerno, Italy September 613, 1997 Tutorial Lectures
- 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
- Advanced applied deep learning : convolutional neural networks and object detection
- Advanced controller design using neural networks for nonlinear dynamic systems with application to micro/nano robotics
- Advanced deep learning with Keras : apply deep learning techniques, autoencoders, GANs, variational autoencoders, deep reinforcement learning, policy gradients, and more
- Advanced deep learning with Python
- Advanced deep learning with R : become an expert at designing, building, and improving advanced neural network models using R
- 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
- 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
- Applications of pulse-coupled neural networks
- Applied deep learning : a case-based approach to understanding neural networks
- Applied deep learning and computer vision for self-driving cars : build autonomous vehicles using deep neural networks and behavior-cloning techniques
- Applied machine learning for spreading financial statements
- Applied neural networks for signal processing
- Applied neural networks with TensorFlow 2 : API oriented deep learning with Python
- Applying neural networks : a practical guide
- Artificial immune systems : a new computational intelligence approach
- Artificial intelligence and machine learning fundamentals
- Artificial intelligence and machine learning fundamentals
- 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 for software reliability prediction
- 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 engineering applications
- 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 neural networks with Java : tools for building neural network applications
- Artificial neural networks with TensorFlow 2 : ANN architecture machine learning projects
- 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
- Avoiding the pitfalls of deep learning : solving model overfitting with regularization and dropout
- Bayesian learning for neural networks
- Bayesian networks : an introduction
- Bayesian networks and decision graphs
- Bayesian networks and decision graphs
- Bayesian nonparametrics via neural networks
- Big data science in finance
- Bio-inspired emergent control of locomotion systems.
- Bioinformatics : the machine learning approach
- Bioinformatics : the machine learning approach
- Biological and artificial intelligence environments : 15th Italian workshop on neural nets, WIRN VIETRI 2004
- Biological neural networks in invertebrate neuroethology and robotics
- Building Recommender systems with machine learning and AI
- Building computer vision applications using artificial neural networks : with step-by-step Eeamples in OpenCV and TensorFlow with Python
- Business applications of neural networks : the state-of-the-art of real-world applications
- C# machine learning projects : nine real-world projects to build robust and high-performing machine learning models with C#
- 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
- 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
- Compression for Machine Vision and Beyond
- 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 for engineering and manufacturing
- 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
- Convolutional neural networks with Swift for TensorFlow : image recognition and dataset categorization
- Cooperative behavior in neural systems : ninth Granada lectures : Granada, Spain, 11-15 September 2006
- Corticonics : neural circuits of the cerebral cortex
- Customizing state-of-the-art deep learning models for new computer vision solutions
- Data analytics and machine learning fundamentals : LiveLessons
- 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 Learning for Natural Language Processing : Solve Your Natural Language Processing Problems with Smart Deep Neural Networks
- Deep Learning mit Python und Keras : Das Praxis-Handbuch vom Entwickler der Keras-Bibliothek
- Deep Learning with PyTorch
- Deep Learning with Pytorch 1. x : Implement Deep Learning Techniques and Neural Network Architecture Variants Using Python, 2nd Edition
- Deep belief nets in C++ and CUDA C :, Volume 2, Autoencoding in the complex domain
- Deep belief nets in C++ and CUDA C, Volume 3, Convolutional nets
- Deep fusion of computational and symbolic processing
- Deep learning : a practitioner's approach
- Deep learning : moving toward artificial intelligence with neural networks and machine learning
- 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 and the game of Go
- Deep learning essentials : your hands-on guide to the fundamentals of deep learning and neural network modeling
- Deep learning for coders with fastai and PyTorch : AI applications without a PhD
- Deep learning for computer vision : expert techniques to train advanced neural networks using TensorFlow and Keras
- Deep learning for health tech : neural network applications in healthcare using Python and TensorFlow
- Deep learning for natural language processing : creating neural networks with Python
- Deep learning for numerical applications with SAS
- Deep learning for search
- Deep learning from scratch : building with Python from first principles
- Deep learning mit R und Keras : Das Praxis-Handbuch : von Entwicklern von Keras und RStudio
- Deep learning projects using TensorFlow 2 : neural network development with Python and Keras
- 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 Microsoft Cognitive Toolkit quick start guide : a practical guide to building neural networks using Microsoft's open source deep learning framework
- Deep learning with PyTorch
- Deep learning with PyTorch : a practical approach to building neural network models using PyTorch
- Deep learning with PyTorch quick start guide : learn to train and deploy neural network models in Python
- Deep learning with Python
- Deep learning with Python video edition
- Deep learning with R
- Deep learning with R cookbook : over 45 unique recipes to delve into neural network techniques using R 3.5x
- Deep learning with R for beginners : design neural network models in R 3.5 using TensorFlow, Keras, and MXNet
- Deep learning with R in motion
- Deep learning with TensorFlow
- Deep learning with TensorFlow 2 and Keras : regression, ConvNets, GANs, RNNs, NLP, and more with TensorFlow 2 and the Keras API
- Deep neuro-fuzzy systems with Python : with case studies and applications from the industry
- 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 an image classifier using TensorFlow : convolutional neural networks
- 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
- 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
- Dynamics on and of complex networks : applications to biology, computer science, and the social sciences
- E-commerce and intelligent methods
- Efficient processing of deep neural networks
- 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 and tools for neural modeling : International Work-Conference on Artificial and Natural Neural Networks, IWANN'99, Alicante, Spain, June 2-4, 1999 : proceedings, Volume I
- Foundations of deep reinforcement learning : theory and practice in Python
- 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
- Fuzzy-neuro approach to agent applications : from the AI perspective to modern ontology
- GANs mit PyTorch selbst programmieren
- Generative adversarial networks cookbook : over 100 recipes to build generative models using Python, TensorFlow, and Keras
- Generative adversarial networks projects : build next-generation generative models using TensorFlow and Keras
- Generative deep learning : teaching machines to paint, write, compose, and play
- Generatives Deep Learning : Maschinen das Malen, Schreiben und Komponieren beibringen
- Genetic algorithms in engineering and computer science
- Getting started with deep learning
- Gray scale image enhancement using neural networks
- Grokking deep learning
- Grokking deep learning in motion
- Ground-state coding in partially connected neural networks
- Hands-On Natural Language Processing with PyTorch 1.x
- Hands-On Neural Networks with TensorFlow 2.0
- Hands-on Java deep learning for computer vision : implement machine learning and neural network methodologies to perform computer vision-related tasks
- Hands-on computer vision with Julia : build complex applications with advanced Julia packages for image processing, neural networks, and artificial intelligence
- Hands-on convolutional neural networks with TensorFlow : solve computer vision problems with modeling in TensorFlow and Python
- Hands-on deep learning for games : leverage the power of neural networks and reinforcement learning to build intelligent games
- Hands-on generative adversarial networks with Keras : your guide to implementing next-generation generative adversarial networks
- Hands-on neural network programming with C# : add powerful neural network capabilities to your C# enterprise applications
- Hands-on neural networks with Keras : design and create neural networks using deep learning and artificial intelligence principles
- Hands-on neuroevolution with Python : build high-performing artificial neural network architectures using neuroevolution-based algorithms
- Hands-on question answering systems with BERT : applications in neural networks and natural language processing
- Hands-on transfer learning with Python : implement advanced deep learning and neural network models using TensorFlow and Keras
- Hardware annealing in analog VLSI neurocomputing
- Hardware implementation of intelligent systems
- Hebbian learning and negative feedback networks
- Hebbian learning and negative feedback networks
- Hierarchical neural networks for image interpretation
- 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
- Identifying Outputs of Generative Adversarial Networks Act : report of the Committee on Commerce, Science, and Transportation on S. 2904
- Image analysis and text classification using CNNs in PyTorch : learn to build powerful image and document classifiers in minutes
- 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 theory, inference, and learning algorithms
- 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 projects using Python : 9 real-world AI projects leveraging machine learning and deep learning with TensorFlow and Keras
- 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 computer vision with TensorFlow : using convolutional neural networks and TensorFlow to solve computer vision tasks
- Introduction to deep learning : concepts and fundamentals
- Introduction to deep learning using PyTorch : create simple neural networks in Python using PyTorch
- 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
- Isospectral transformations : a new approach to analyzing multidimensional systems and networks
- Iterative learning control for deterministic systems
- Java deep learning cookbook : train neural networks for classification, NLP, and reinforcement learning using Deeplearning4j
- Keras 2.x projects : 9 projects demonstrating faster experimentation of neural network and deep learning applications using Keras
- Keras deep learning cookbook : over 30 recipes for implementing deep neural networks in Python
- Kinematic Control of Redundant Robot Arms Using Neural Networks: A Theoretical Study
- 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
- Learn Keras for deep neural networks : a fast-track approach to modern deep learning with Python
- 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 node embeddings in transaction networks
- Learning systems
- Learning with recurrent neural networks
- Linear and nonlinear iterative learning control
- Live-coding a machine learning model from scratch
- Lyapunov based optimal control of a class of nonlinear systems
- MATLAB deep learning : with machine learning, neural networks and artificial intelligence
- MATLAB for machine learning : functions, algorithms, and use cases
- MATLAB machine learning
- Machine Learning Workshop - Second Edition
- Machine learning 101 with Scikit-Learn and StatsModels
- Machine learning : theory and applications
- Machine learning avec R
- Machine learning in R : automated algorithms for business analysis : applying K-Means clustering, decision trees, random forests, and neural networks
- Mastering computer vision problems with state-of-the-art deep learning architectures, MXNet, and GPU virtual machines
- 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
- Methods and procedures for the verification and validation of artificial neural networks
- 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
- Natural language processing with Java : techniques for building machine learning and neural network models for NLP
- Natural language processing with Java cookbook : over 70 recipes to create linguistic and language translation applications using Java libraries
- 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 machine translation
- Neural nets : 13th Italian Workshop on Neural Nets, WIRN VIETRI 2002, Vietri Sul Mare, Italy, May 30-June 1, 2002 : revised papers
- 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 projects with Python : the ultimate guide to using Python to explore the true power of neural networks through six projects
- 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 : tricks of the trade
- Neural networks : what non-linearity to choose
- 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 micromechanics
- Neural networks and pattern recognition
- 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 networks with Keras cookbook : over 70 recipes leveraging deep learning techniques across image, text, audio, and game bots
- Neural networks with R : smart models using CNN, RNN, deep learning, and artificial intelligence principles
- Neural networks, Part 5, Introduction to real-world machine learning
- Neural preprocessing and control of reactive walking machines : towards versatile artificial perception-action systems
- 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 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 equalizers for mobile cellular channels
- Neuro-fuzzy techniques for intelligent information systems
- Neuro-inspired Information Processing
- Neuro