04639nam a2200421 a 4500 9910098990206341 BR-ReIFE 20260323154048.0 m o d | cr#-n--------- 070522s2007 ne a ob 001 0 eng 9781558607590 MiAaPQ eng rda pn MiAaPQ MiAaPQ eng 006.3 22 E16c 006.3 E16c Eberhart, Russell C. Computational intelligence : concepts to implementations / Russell C. Eberhart, Yuhui Shi. 1st edition Amsterdam ; Boston : Elsevier/Morgan Kaufmann Publishers, c2007. 467 p. Description based upon print version of record. Includes bibliographical references (p. 439-453) and index. Front 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 Computational 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 Chapter 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 HistoryFuzzy 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 Average 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 Case Study 2: Determining Battery State of Charge Russ 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 English Computational intelligence. Neural networks (Neurobiology) Shi, Yuhui. 9781558607590 1558607595 ddc LV 42573 42573 0 0 ddc 0 1 NFIC 014 014 AG 2023-12-05 Doação 0 006.3 E16c 85648564293824 2026-03-23 00:00:00 ex. 1 2026-03-23 LV