Fuzzy Rule-Based Expert Systems and Genetic Machine Learning
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Beschreibung
This book integrates fuzzy rule-languages with genetic algorithms, genetic programming, and classifier systems with the goal of obtaining fuzzy rule-based expert systems with learning capabilities. The main topics are first introduced by solving small problems, then a prototype implementation of the algorithm is explained, and last but not least the theoretical foundations are given.
The second edition takes into account the rapid progress in the application of fuzzy genetic algorithms with a survey of recent developments in the field. The chapter on genetic programming has been revised. An exact uniform initialization algorithm replaces the heuristic presented in the first edition. A new method of abstraction, compound derivations, is introduced.
Autor*in
Andreas Geyer-Schulz
Themen in »Fuzzy Rule-Based Expert Systems and Genetic Machine Learning«
Expert Systems Expertensysteme Genetische Algorithmen Maschinelles Lernen algorithms control expert system fuzzy fuzzy control fuzzy sets genetic algorithms genetic programming learning machine learning natural language