Overview

This text provides a comprehensive treatment of the constituent methodologies underlying neuro-fuzzy and soft computing, an evolving branch within the scope of computational intelligence that is drawing increasingly more attention as it develops. The book places particular emphasis on theoretical aspects of covered methodologies, as well as empirical observations and verifications of various applications in practice. It is organized into seven sections: introduction, overview of system identification and optimization techniques, introduction of important neural network paradigms found in the literature, explanations for building ANFIS and CANFIS, structure identification techniques for neural networks and fuzzy modeling, approaches to the design of neuro-fuzzy controllers, and application examples in different domains.

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9780132610667

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