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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,* Ex

Neural Networks •Neural network concepts, paradigms, and implementations. •Neural Network Theory and Paradigms: terminology, biological bases, survey of architectures and topologies, review of learning paradigms and recall procedures. •Neural Network Implementations: back-propagation, self-organizing feature maps, and learning vector

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