LEADER 05434nam 2200697 a 450 001 9910827533703321 005 20230120004923.0 010 $a1-281-22770-6 010 $a9786611227708 010 $a0-08-055383-4 035 $a(CKB)1000000000383537 035 $a(EBL)404050 035 $a(OCoLC)476216987 035 $a(SSID)ssj0000127607 035 $a(PQKBManifestationID)11141124 035 $a(PQKBTitleCode)TC0000127607 035 $a(PQKBWorkID)10061923 035 $a(PQKB)10847991 035 $a(Au-PeEL)EBL404050 035 $a(CaPaEBR)ebr10371737 035 $a(CaONFJC)MIL122770 035 $a(CaSebORM)9781558607590 035 $a(MiAaPQ)EBC404050 035 $a(OCoLC)873843619 035 $a(OCoLC)ocn873843619 035 $a(EXLCZ)991000000000383537 100 $a20070522d2007 uy 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 10$aComputational intelligence $econcepts to implementations /$fRussell C. Eberhart, Yuhui Shi 205 $a1st edition 210 $aAmsterdam ;$aBoston $cElsevier/Morgan Kaufmann Publishers$dc2007 215 $a1 online resource (543 p.) 300 $aDescription based upon print version of record. 311 $a1-55860-759-5 320 $aIncludes bibliographical references (p. 439-453) and index. 327 $aFront Cover; Computational Intelligence; Copyright Page; Table of Contents; Preface; Chapter 1. Foundations; Definitions; Biological Basis for Neural Networks; Behavioral Motivations for Fuzzy Logic; Myths about Computational Intelligence; Computational Intelligence Application Areas; Summary; Exercises; Chapter 2. Computational Intelligence; Adaptation; Self-organization and Evolution; Historical Views of Computational Intelligence; Computational Intelligence as Adaptation and Self-organization; The Ability to Generalize 327 $aComputational Intelligence and Soft Computing versus Artificial Intelligence and Hard ComputingSummary; Exercises; Chapter 3. Evolutionary Computation Concepts and Paradigms; History of Evolutionary Computation; Evolutionary Computation Overview; Genetic Algorithms; Evolutionary Programming; Evolution Strategies; Genetic Programming; Particle Swarm Optimization; Summary; Exercises; Chapter 4. Evolutionary Computation Implementations; Implementation Issues; Genetic Algorithm Implementation; Particle Swarm Optimization Implementation; Summary; Exercises 327 $aChapter 5. Neural Network Concepts and ParadigmsNeural Network History; What Neural Networks are and Why They are Useful; Neural Network Components and Terminology; Neural Network Topologies; Neural Network Adaptation; Comparing Neural Networks and Other Information Processing Methods; Preprocessing; Postprocessing; Summary; Exercises; Chapter 6. Neural Network Implementations; Implementation Issues; Back-propagation Implementation; The Kohonen Network Implementations; Evolutionary Back-propagation Network Implementation; Summary; Exercises; Chapter 7. Fuzzy Systems Conceptsand Paradigms 327 $aHistoryFuzzy Sets and Fuzzy Logic; The Theory of Fuzzy Sets; Approximate Reasoning; Developing a Fuzzy Controller; Summary; Exercises; Chapter 8. Fuzzy Systems Implementations; Implementation Issues; Fuzzy Rule System Implementation; Evolving Fuzzy Rule Systems; Summary; Exercises; Chapter 9. Computational Intelligence Implementations; Implementation Issues; Fuzzy Evolutionary Fuzzy Rule System Implementation; Choosing the Best Tools; Applying Computational Intelligence to Data Mining; Summary; Exercises; Chapter 10. Performance Metrics; General Issues; Percent Correct 327 $aAverage Sum-squared ErrorAbsolute Error; Normalized Error; Evolutionary Algorithm Effectiveness Metrics; Mann-Whitney U Test; Receiver Operating Characteristic Curves; Recall and Precision; Other ROC-related Measures; Confusion Matrices; Chi-square Test; Summary; Exercises; Chapter 11. Analysis and Explanation; Sensitivity Analysis; Hinton Diagrams; Computational Intelligence Tools for Explanation Facilities; Summary; Exercises; Bibliography; Index; About the Authors; Chapter 12. Case Study Summaries; Case Study Preview; Case Study 1: Detection of Electroencephalogram Spikes 327 $aCase Study 2: Determining Battery State of Charge 330 $aRuss Eberhart and Yuhui Shi have succeeded in integrating various natural and engineering disciplines to establish Computational Intelligence. This is the first comprehensive textbook, including lots of practical examples. -Shun-ichi Amari, RIKEN Brain Science Institute, JapanThis book is an excellent choice on its own, but, as in my case, will form the foundation for our advanced graduate courses in the CI disciplines. -James M. Keller, University of Missouri-ColumbiaThe excellent new book by Eberhart and Shi asserts that computational intelligence rests on a foundation of evo 606 $aComputational intelligence 606 $aNeural networks (Neurobiology) 615 0$aComputational intelligence. 615 0$aNeural networks (Neurobiology) 676 $a006.3 676 $a006.3 700 $aEberhart$b Russell C$01640184 701 $aShi$b Yuhui$0907797 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910827533703321 996 $aComputational intelligence$93983599 997 $aUNINA