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Neural Networks and Fuzzy Systems

A Dynamical Approach to Machine Intelligence

Bart Kosko (Autor)

Media-Kombination
224 Seiten
1991
Prentice-Hall
9780136114352 (ISBN)
CHF 139,95 inkl. MwSt
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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 geometric theory of fuzzy sets, systems and associative memories.
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.

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.

Erscheint lt. Verlag 23.5.1991
Zusatzinfo Illustrations
Verlagsort Harlow
Sprache englisch
Maße 190 x 241 mm
Gewicht 950 g
Themenwelt Informatik Theorie / Studium Künstliche Intelligenz / Robotik
Mathematik / Informatik Mathematik Angewandte Mathematik
ISBN-13 9780136114352 / 9780136114352
Zustand Neuware
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