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Fuzzy Logic and Expert Systems Applications by Cornelius T. Leondes,

This volume covers the integration of fuzzy logic expert system and expert systems. A vital resource in the field, it includes techniques for applying fuzzy systems to neural networks for modeling expert system and control, systematic design procedures for realizing fuzzy neural systems, techniques for the design of rule-based expert systems using the massively parallel processing capabilities of neural networks, the transformation of neural systems into rule-based expert systems, the characteristics expert system and relative merits of integrating fuzzy sets, neural networks, genetic algorithms, expert system and rough sets, expert system and applications to system identification expert system and control as well as nonparametric, nonlinear estimation. Practitioners, researchers, expert system and students in industrial, manufacturing, electrical, expert system and mechanical engineering, as well as computer scientists expert system and engineers will appreciate this reference source to diverse application methodologies.
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