Combining neural networks and fuzzy systems, this presents neural networks as trainable dynamical systems and develops mechanisms and principles of adaption, self-organization, covergence and global stability. It also includes the new geometric theory of fuzzy sets, systems and associative memories. Kosko shows how to apply fuzzy theory to adaptive control and how to generate structured fuzzy systems with unsupervised neural techniques. The book is designed to be appropriate for courses in engineering, computer science, mathematics, psychology and biology. Neural, fuzzy and neural-fuzzy IBM PC software is included.
Sprache
Verlagsort
Verlagsgruppe
Pearson Education Limited
Zielgruppe
Für höhere Schule und Studium
Illustrationen
Maße
Höhe: 241 mm
Breite: 190 mm
Gewicht
ISBN-13
978-0-13-611435-2 (9780136114352)
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Schweitzer Klassifikation
Neural networks as trainable dynamical systems; neuronal dynamics - activations and signals, activation models; synaptic dynamics - unsupervised learning, supervised learning; architecture and equilibria; fuzziness vs probability; fuzzy associative memories; comparison of fuzzy and neural truck backer-upper control systems; comparison of fuzzy and Kalman-Filter target tracking control system. Appendix: neural and fuzzy software instructions.
