Fuzzy Rule-Based Expert Systems and Genetic Machine Learning

Geyer-Schulz, Andreas

ISBN 10: 3790809640 / ISBN 13: 9783790809640

Editore: Physica-Verlag Rudolf Liebing GmbH & Co., 1996

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Zustand: Sehr gut | Sprache: Englisch | Produktart: Bücher.

Codice articolo 30825/202

Dati bibliografici

• Titolo: Fuzzy Rule-Based Expert Systems and Genetic Machine Learning
• Editore: Physica-Verlag Rudolf Liebing GmbH & Co.
• Data di pubblicazione: 1996
• Lingua: Inglese
• ISBN 10: 3790809640
• ISBN 13: 9783790809640
• Rilegatura: Rilegato
• Edizione: seconda edizione
• Condizione: Sehr gut
• Cataloghi dei venditori:
  • Bücher

Descrizione articolo

Riassunto

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.

Contenuti

Contents: Fuzzy Rule-Based Expert Systems: Fuzzy Technologies.- Introduction to Fuzzy Sets.- Natural Language Computation.- A Little but Extendible Language.- Hybrid Reasoning.- A Fuzzy Backtrack Algorithm.- Fuzzy Classifier Systems: Genetic Algorithms.- The Genetic Machinery over Context-Free Languages.- Fuzzy Classifier Systems.- The Monte Carlo Selection Rule.- The Search Space Size of Fuzzy Classifier Systems.