Soft Computing is concerned with modes of computing in which precision is treated for tractability, robustness and ease of implementation, and it contains Fuzzy Sets and Genetic Algorithms among its components. Each of them have different advantages to deal with nonlinearity or explicit knowledge expression, but learning capability, as well as global and local search approaches provided by Genetic Algorithms are remarkable. This book will be revealing for all those interested in new developments and practical applications in the interface between Soft Computing and Genetic Algorithms.
Reihe
Sprache
Verlagsort
Zielgruppe
Für höhere Schule und Studium
Für Beruf und Forschung
Illustrationen
305 s/w Abbildungen, 108 s/w Tabellen
305 black & white illustrations, 108 black & white tables, biography
Maße
Höhe: 24.2 cm
Breite: 17 cm
Gewicht
ISBN-13
978-3-7908-0956-5 (9783790809565)
Schweitzer Klassifikation
Contents: Foundations.- Fuzzy Logic Based Techniques in Genetic Algorithms.- Learning in Fuzzy Controllers.- Optimization of Fuzzy Controllers.- Fuzzy Classifier Systems.- Fuzzy Neural Nets.- Genetic Algorithms in Fuzzy Contexts.- Applications.