Fundamentals of computational intelligence : (Record no. 42623)
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fixed length control field | 09166nam a2201453 i 4500 |
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control field | 7547467 |
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control field | IEEE |
005 - DATE AND TIME OF LATEST TRANSACTION | |
control field | 20191218152127.0 |
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007 - PHYSICAL DESCRIPTION FIXED FIELD--GENERAL INFORMATION | |
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fixed length control field | 160920s2008 nju ob 001 eng d |
019 ## - | |
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-- | 958350488 |
020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
International Standard Book Number | 1119214408 |
020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
International Standard Book Number | 9781119214403 |
Qualifying information | electronic |
020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
Canceled/invalid ISBN | 9781119214342 |
Qualifying information | |
020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
Canceled/invalid ISBN | 9781119214359 |
Qualifying information | electronic bk. |
020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
Canceled/invalid ISBN | 1119214351 |
Qualifying information | electronic bk. |
020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
Canceled/invalid ISBN | 9781119214366 |
Qualifying information | electronic bk. |
020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
Canceled/invalid ISBN | 111921436X |
Qualifying information | electronic bk. |
020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
Canceled/invalid ISBN | 9781119214403 |
020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
Canceled/invalid ISBN | 1119214343 |
035 ## - SYSTEM CONTROL NUMBER | |
System control number | (CaBNVSL)mat07547467 |
035 ## - SYSTEM CONTROL NUMBER | |
System control number | (IDAMS)0b00006485691f5c |
040 ## - CATALOGING SOURCE | |
Original cataloging agency | CaBNVSL |
Language of cataloging | eng |
Description conventions | rda |
Transcribing agency | CaBNVSL |
Modifying agency | CaBNVSL |
050 #4 - LIBRARY OF CONGRESS CALL NUMBER | |
Classification number | QA76.76.E95 |
Item number | K45 2016eb |
082 04 - DEWEY DECIMAL CLASSIFICATION NUMBER | |
Classification number | 006.33 |
Edition number | 23 |
100 1# - MAIN ENTRY--PERSONAL NAME | |
Personal name | Keller, James M., |
Relator term | author. |
245 10 - TITLE STATEMENT | |
Title | Fundamentals of computational intelligence : |
Remainder of title | neural networks, fuzzy systems, and evolutionary computation / |
Statement of responsibility, etc. | James M. Keller, Derong Liu, David B. Fogel. |
264 #1 - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE | |
Place of production, publication, distribution, manufacture | Hoboken, New Jersey : |
Name of producer, publisher, distributor, manufacturer | IEEE Press/Wiley, |
Date of production, publication, distribution, manufacture, or copyright notice | 2016. |
264 #2 - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE | |
Place of production, publication, distribution, manufacture | [Piscataqay, New Jersey] : |
Name of producer, publisher, distributor, manufacturer | IEEE Xplore, |
Date of production, publication, distribution, manufacture, or copyright notice | [2016] |
300 ## - PHYSICAL DESCRIPTION | |
Extent | 1 PDF (400 pages). |
336 ## - CONTENT TYPE | |
Content type term | text |
Source | rdacontent |
337 ## - MEDIA TYPE | |
Media type term | electronic |
Source | isbdmedia |
338 ## - CARRIER TYPE | |
Carrier type term | online resource |
Source | rdacarrier |
490 1# - SERIES STATEMENT | |
Series statement | IEEE Press series on computational intelligence |
504 ## - BIBLIOGRAPHY, ETC. NOTE | |
Bibliography, etc. note | Includes bibliographical references and index. |
505 8# - FORMATTED CONTENTS NOTE | |
Formatted contents note | Chapter 6: Basic Fuzzy Set Theory6.1 Introduction; 6.2 A Brief History; 6.3 Fuzzy Membership Functions and Operators; 6.3.1 Membership Functions; 6.3.2 Basic Fuzzy Set Operators; 6.4 Alpha-Cuts, the Decomposition Theorem, and the Extension Principle; 6.5 Compensatory Operators; 6.6 Conclusions; Exercises; Chapter 7: Fuzzy Relations and Fuzzy Logic Inference; 7.1 Introduction; 7.2 Fuzzy Relations and Propositions; 7.3 Fuzzy Logic Inference; 7.4 Fuzzy Logic for Real-Valued Inputs; 7.5 Where Do the Rules Come From?; 7.6 Chapter Summary; Exercises; Chapter 8: Fuzzy Clustering and Classification |
505 0# - FORMATTED CONTENTS NOTE | |
Formatted contents note | Fundamentals of Computational Intelligence: Neural Networks, Fuzzy Systems, and Evolutionary Computation; Table of Contents; Acknowledgments; Chapter 1: Introduction to Computational Intelligence; 1.1 Welcome to Computational Intelligence; 1.2 What Makes This Book Special; 1.3 What This Book Covers; 1.4 How to Use This Book; 1.5 Final Thoughts Before You Get Started; Part I: Neural Networks; Chapter 2: Introduction and Single-Layer Neural Networks; 2.1 Short History of Neural Networks; 2.2 Rosenblatt's Neuron; 2.3 Perceptron Training Algorithm; 2.3.1 Test Problem |
505 8# - FORMATTED CONTENTS NOTE | |
Formatted contents note | 2.3.2 Constructing Learning Rules2.3.3 Unified Learning Rule; 2.3.4 Training Multiple-Neuron Perceptrons; 2.3.4.1 Problem Statement; 2.4 The Perceptron Convergence Theorem; 2.5 Computer Experiment Using Perceptrons; 2.6 Activation Functions; 2.6.1 Threshold Function; 2.6.2 Sigmoid Function; Exercises; Chapter 3: Multilayer Neural Networks and Backpropagation; 3.1 Universal Approximation Theory; 3.2 The Backpropagation Training Algorithm; 3.2.1 The Description of the Algorithm; 3.2.2 The Strategy for Improving the Algorithm; 3.2.3 The Design Procedure of the Algorithm |
505 8# - FORMATTED CONTENTS NOTE | |
Formatted contents note | 3.3 Batch Learning and Online Learning3.3.1 Batch Learning; 3.3.2 Online Learning; 3.4 Cross-Validation and Generalization; 3.4.1 Cross-Validation; 3.4.2 Generalization; 3.4.3 Convolutional Neural Networks; 3.5 Computer Experiment Using Backpropagation; Exercises; Chapter 4: Radial-Basis Function Networks; 4.1 Radial-Basis Functions; 4.2 The Interpolation Problem; 4.3 Training Algorithms for Radial-Basis Function Networks; 4.3.1 Layered Structure of a Radial-Basis Function Network; 4.3.2 Modification of the Structure of RBF Network; 4.3.3 Hybrid Learning Process; 4.4 Universal Approximation |
505 8# - FORMATTED CONTENTS NOTE | |
Formatted contents note | 4.5 Kernel RegressionExercises; Chapter 5: Recurrent Neural Networks; 5.1 The Hopfield Network; 5.2 The Grossberg Network; 5.2.1 Basic Nonlinear Model; 5.2.2 Two-Layer Competitive Network; 5.2.2.1 Layer 1; 5.2.2.2 Layer 2; 5.2.2.3 Learning Law; Basic Nonlinear Model: Leaky Integrator; Layer 1; Layer 2; 5.3 Cellular Neural Networks; 5.4 Neurodynamics and Optimization; 5.5 Stability Analysis of Recurrent Neural Networks; 5.5.1 Stability Analysis of the Hopfield Network; 5.5.2 Stability Analysis of the Cohen-Grossberg Network; Exercises; Part II: Fuzzy Set Theory and Fuzzy Logic |
506 1# - RESTRICTIONS ON ACCESS NOTE | |
Terms governing access | Restricted to subscribers or individual electronic text purchasers. |
520 ## - SUMMARY, ETC. | |
Summary, etc. | Provides an in-depth and even treatment of the three pillars of computational intelligence and how they relate to one another This book covers the three fundamental topics that form the basis of computational intelligence: neural networks, fuzzy systems, and evolutionary computation. The text focuses on inspiration, design, theory, and practical aspects of implementing procedures to solve real-world problems. While other books in the three fields that comprise computational intelligence are written by specialists in one discipline, this book is co-written by current former Editor-in-Chief of IEEE Transactions on Neural Networks and Learning Systems, a former Editor-in-Chief of IEEE Transactions on Fuzzy Systems, and the founding Editor-in-Chief of IEEE Transactions on Evolutionary Computation. The coverage across the three topics is both uniform and consistent in style and notation. . Discusses single-layer and multilayer neural networks, radial-basis function networks, and recurrent neural networks. Covers fuzzy set theory, fuzzy relations, fuzzy logic interference, fuzzy clustering and classification, fuzzy measures and fuzzy integrals. Examines evolutionary optimization, evolutionary learning and problem solving, and collective intelligence. Includes end-of-chapter practice problems that will help readers apply methods and techniques to real-world problems Fundamentals of Computational intelligence is written for advanced undergraduates, graduate students, and practitioners in electrical and computer engineering, computer science, and other engineering disciplines. |
530 ## - ADDITIONAL PHYSICAL FORM AVAILABLE NOTE | |
Additional physical form available note | Also available in print. |
538 ## - SYSTEM DETAILS NOTE | |
System details note | Mode of access: World Wide Web |
588 ## - SOURCE OF DESCRIPTION NOTE | |
Source of description note | Online resource; title from PDF title page (EBSCO, viewed August 12, 2016) |
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
Topical term or geographic name entry element | Expert systems (Computer science) |
650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
Topical term or geographic name entry element | Expert systems (Computer science) |
Source of heading or term | fast |
655 #4 - INDEX TERM--GENRE/FORM | |
Genre/form data or focus term | Electronic books. |
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700 1# - ADDED ENTRY--PERSONAL NAME | |
Personal name | Liu, Derong, |
Relator term | author. |
700 1# - ADDED ENTRY--PERSONAL NAME | |
Personal name | Fogel, David B., |
Relator term | author. |
710 2# - ADDED ENTRY--CORPORATE NAME | |
Corporate name or jurisdiction name as entry element | IEEE Xplore (Online Service), |
Relator term | distributor. |
710 2# - ADDED ENTRY--CORPORATE NAME | |
Corporate name or jurisdiction name as entry element | Wiley, |
Relator term | publisher. |
776 08 - ADDITIONAL PHYSICAL FORM ENTRY | |
Relationship information | Print version: |
Main entry heading | Keller, James M. |
Title | Fundamentals of Computational Intelligence : Neural Networks, Fuzzy Systems, and Evolutionary Computation |
Place, publisher, and date of publication | Hoboken : Wiley,c2016 |
International Standard Book Number | 9781119214403 |
830 #0 - SERIES ADDED ENTRY--UNIFORM TITLE | |
Uniform title | IEEE series on computational intelligence. |
856 42 - ELECTRONIC LOCATION AND ACCESS | |
Materials specified | Abstract with links to resource |
Uniform Resource Identifier | https://ieeexplore.ieee.org/xpl/bkabstractplus.jsp?bkn=7547467 |
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