The Resource Computational intelligence : a methodological introduction, Rudolf Kruse, Christian Borgelt, Frank Klawonn, Christian Moewes, Matthias Steinbrecher, Pascal Held
Computational intelligence : a methodological introduction, Rudolf Kruse, Christian Borgelt, Frank Klawonn, Christian Moewes, Matthias Steinbrecher, Pascal Held
Resource Information
The item Computational intelligence : a methodological introduction, Rudolf Kruse, Christian Borgelt, Frank Klawonn, Christian Moewes, Matthias Steinbrecher, Pascal Held represents a specific, individual, material embodiment of a distinct intellectual or artistic creation found in University of Missouri Libraries.This item is available to borrow from 2 library branches.
Resource Information
The item Computational intelligence : a methodological introduction, Rudolf Kruse, Christian Borgelt, Frank Klawonn, Christian Moewes, Matthias Steinbrecher, Pascal Held represents a specific, individual, material embodiment of a distinct intellectual or artistic creation found in University of Missouri Libraries.
This item is available to borrow from 2 library branches.
- Summary
- Computational intelligence (CI) encompasses a range of nature-inspired methods that exhibit intelligent behavior in complex environments. This clearly-structured, classroom-tested textbook/reference presents a methodical introduction to the field of CI. Providing an authoritative insight into all that is necessary for the successful application of CI methods, the book describes fundamental concepts and their practical implementations, and explains the theoretical background underpinning proposed solutions to common problems. Only a basic knowledge of mathematics is required. Topics and features:Provides electronic supplementary material at an associated website, including module descriptions, lecture slides, exercises with solutions, and software toolsContains numerous examples and definitions throughout the textPresents self-contained discussions on artificial neural networks, evolutionary algorithms, fuzzy systems and Bayesian networksCovers the latest approaches, including ant colony optimization and probabilistic graphical modelsWritten by a team of highly-regarded experts in CI, with extensive experience in both academia and industryStudents of computer science will find the text a must-read reference for courses on artificial intelligence and intelligent systems. The book is also an ideal self-study resource for researchers and practitioners involved in all areas of CI
- Language
- eng
- Extent
- 1 online resource (xi, 490 pages)
- Contents
-
- Hopfield Networks
- Recurrent Networks
- Mathematical Remarks
- Part II.
- Evolutionary Algorithms.
- Introduction to Evolutionary Algorithms
- Elements of Evolutionary Algorithms
- Fundamental Evolutionary Algorithms
- Special Applications and Techniques
- Part III.
- Part I.
- Fuzzy Systems.
- Fuzzy Sets and Fuzzy Logic
- The Extension Principle
- Fuzzy Relations
- Similarity Relations
- Fuzzy Control
- Fuzzy Clustering
- Part IV.
- Bayes Networks.
- Introduction to Bayes Networks
- Neural Networks.
- Elements of Probability and Graph Theory
- Decompositions
- Evidence Propagation
- Learning Graphical Models
- Introduction
- Threshold Logic Units
- General Neural Networks
- Multi-Layer Perceptrons
- Radial Basis Function Networks
- Self-organizing Maps
- Isbn
- 9781447150121
- Label
- Computational intelligence : a methodological introduction
- Title
- Computational intelligence
- Title remainder
- a methodological introduction
- Statement of responsibility
- Rudolf Kruse, Christian Borgelt, Frank Klawonn, Christian Moewes, Matthias Steinbrecher, Pascal Held
- Language
- eng
- Summary
- Computational intelligence (CI) encompasses a range of nature-inspired methods that exhibit intelligent behavior in complex environments. This clearly-structured, classroom-tested textbook/reference presents a methodical introduction to the field of CI. Providing an authoritative insight into all that is necessary for the successful application of CI methods, the book describes fundamental concepts and their practical implementations, and explains the theoretical background underpinning proposed solutions to common problems. Only a basic knowledge of mathematics is required. Topics and features:Provides electronic supplementary material at an associated website, including module descriptions, lecture slides, exercises with solutions, and software toolsContains numerous examples and definitions throughout the textPresents self-contained discussions on artificial neural networks, evolutionary algorithms, fuzzy systems and Bayesian networksCovers the latest approaches, including ant colony optimization and probabilistic graphical modelsWritten by a team of highly-regarded experts in CI, with extensive experience in both academia and industryStudents of computer science will find the text a must-read reference for courses on artificial intelligence and intelligent systems. The book is also an ideal self-study resource for researchers and practitioners involved in all areas of CI
- Cataloging source
- GW5XE
- Dewey number
- 006.3
- Illustrations
- illustrations
- Index
- index present
- Language note
- English
- LC call number
- Q342
- LC item number
- .C66 2013eb
- Literary form
- non fiction
- Nature of contents
-
- dictionaries
- bibliography
- http://library.link/vocab/relatedWorkOrContributorName
-
- Kruse, Rudolf
- Borgelt, Christian
- Klawonn, F.
- Moewes, Christian
- Steinbrecher, Matthias
- Held, Pascal
- Series statement
- Texts in computer science,
- http://library.link/vocab/subjectName
-
- Computational intelligence
- Artificial Intelligence
- Computational intelligence
- Label
- Computational intelligence : a methodological introduction, Rudolf Kruse, Christian Borgelt, Frank Klawonn, Christian Moewes, Matthias Steinbrecher, Pascal Held
- Antecedent source
- unknown
- Bibliography note
- Includes bibliographical references and index
- Carrier category
- online resource
- Carrier category code
-
- cr
- Carrier MARC source
- rdacarrier
- Color
- multicolored
- Content category
- text
- Content type code
-
- txt
- Content type MARC source
- rdacontent
- Contents
-
- Hopfield Networks
- Recurrent Networks
- Mathematical Remarks
- Part II.
- Evolutionary Algorithms.
- Introduction to Evolutionary Algorithms
- Elements of Evolutionary Algorithms
- Fundamental Evolutionary Algorithms
- Special Applications and Techniques
- Part III.
- Part I.
- Fuzzy Systems.
- Fuzzy Sets and Fuzzy Logic
- The Extension Principle
- Fuzzy Relations
- Similarity Relations
- Fuzzy Control
- Fuzzy Clustering
- Part IV.
- Bayes Networks.
- Introduction to Bayes Networks
- Neural Networks.
- Elements of Probability and Graph Theory
- Decompositions
- Evidence Propagation
- Learning Graphical Models
- Introduction
- Threshold Logic Units
- General Neural Networks
- Multi-Layer Perceptrons
- Radial Basis Function Networks
- Self-organizing Maps
- Control code
- 837524179
- Dimensions
- unknown
- Extent
- 1 online resource (xi, 490 pages)
- File format
- unknown
- Form of item
- online
- Isbn
- 9781447150121
- Level of compression
- unknown
- Media category
- computer
- Media MARC source
- rdamedia
- Media type code
-
- c
- Other control number
- 10.1007/978-1-4471-5013-8
- Other physical details
- illustrations.
- Quality assurance targets
- not applicable
- Reformatting quality
- unknown
- Sound
- unknown sound
- Specific material designation
- remote
- System control number
- (OCoLC)837524179
- Label
- Computational intelligence : a methodological introduction, Rudolf Kruse, Christian Borgelt, Frank Klawonn, Christian Moewes, Matthias Steinbrecher, Pascal Held
- Antecedent source
- unknown
- Bibliography note
- Includes bibliographical references and index
- Carrier category
- online resource
- Carrier category code
-
- cr
- Carrier MARC source
- rdacarrier
- Color
- multicolored
- Content category
- text
- Content type code
-
- txt
- Content type MARC source
- rdacontent
- Contents
-
- Hopfield Networks
- Recurrent Networks
- Mathematical Remarks
- Part II.
- Evolutionary Algorithms.
- Introduction to Evolutionary Algorithms
- Elements of Evolutionary Algorithms
- Fundamental Evolutionary Algorithms
- Special Applications and Techniques
- Part III.
- Part I.
- Fuzzy Systems.
- Fuzzy Sets and Fuzzy Logic
- The Extension Principle
- Fuzzy Relations
- Similarity Relations
- Fuzzy Control
- Fuzzy Clustering
- Part IV.
- Bayes Networks.
- Introduction to Bayes Networks
- Neural Networks.
- Elements of Probability and Graph Theory
- Decompositions
- Evidence Propagation
- Learning Graphical Models
- Introduction
- Threshold Logic Units
- General Neural Networks
- Multi-Layer Perceptrons
- Radial Basis Function Networks
- Self-organizing Maps
- Control code
- 837524179
- Dimensions
- unknown
- Extent
- 1 online resource (xi, 490 pages)
- File format
- unknown
- Form of item
- online
- Isbn
- 9781447150121
- Level of compression
- unknown
- Media category
- computer
- Media MARC source
- rdamedia
- Media type code
-
- c
- Other control number
- 10.1007/978-1-4471-5013-8
- Other physical details
- illustrations.
- Quality assurance targets
- not applicable
- Reformatting quality
- unknown
- Sound
- unknown sound
- Specific material designation
- remote
- System control number
- (OCoLC)837524179
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<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/portal/Computational-intelligence--a-methodological/66VU-6w1MGw/" typeof="Book http://bibfra.me/vocab/lite/Item"><span property="name http://bibfra.me/vocab/lite/label"><a href="http://link.library.missouri.edu/portal/Computational-intelligence--a-methodological/66VU-6w1MGw/">Computational intelligence : a methodological introduction, Rudolf Kruse, Christian Borgelt, Frank Klawonn, Christian Moewes, Matthias Steinbrecher, Pascal Held</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>
