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Introduction to Computational Intelligence

Introduction to Computational IntelligenceCSCI/ENGR 8940 Cruise Director: Don Potter(Textbook slides by Eberhartwere edited by Potter for use in CSCI/ENGR-8940)Prof. Walter D. PotterProfessor of Computer ScienceDirector, Institute for Artificial IntelligenceOffice: GSRC-113 Phone: 706-542-0361 Email: Computational Intelligence : Concepts to Implementations by Eberhart and ShiOutline of class session Introduction Discuss handout Review course outline Individual introductions Resources in addition to textbookIntro. to Cl: Course Outline (maybe) Introduction Foundations of CI Evolutionary Computation Neural Networks Fuzzy Logic Computational Intelligence Metrics and Analysis case StudiesIntroduction Definition of Computational Intelligence Advantages of Cl tools* Can be implemented by domain experts* Relatively short development time This course is applications-oriented* Can solve tough problems Book software assumes students have knowledge of:* C programming Applications selected based on:* Basic concepts,* Experience/practice,* Cool,* Impact factorComputational Intelligence DefinitionComputational Intelligence comprises practical adaptation and self-organizationconcepts, paradigms, algorithms and implementations that enable or facilitate appropriate actions (intelligent behavior) in complex and changing of BookChapter 1

Chapter 7 –Fuzzy Systems Chapter 8 –Fuzzy System Implementations Chapter 9 –Computational Intelligence Implementations Chapter 10 –Performance Metrics Chapter 11 –Analysis and Explanation Chapter 12 –Case Study Summaries Appendix –Computational Intelligence Resources Glossary Note: Chapter 12 and glossary are on book’s website.

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