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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 FoundationsChapter 2 Computational IntelligenceChapter 3 Evolutionary ComputationCha

Silicon-based computational intelligence systems usually comprise hybrids of paradigms such as artificial neural networks, fuzzy systems, and evolutionary algorithms, augmented with knowledge elements, and are often designed to mimic one or more aspects of carbon-based biological intelligence.

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