Networks of Learning Automata - Techniques for Online Stochastic Optimization (Hardcover, 2004 ed.)

Networks of Learning Automata: Techniques for Online Stochastic Optimization is a comprehensive account of learning automata models with emphasis on multiautomata systems. It considers synthesis of complex learning structures from simple building blocks and uses stochastic algorithms for refining probabilities of selecting actions. Mathematical analysis of the behavior of games and feedforward networks is provided. Algorithms considered here can be used for online optimization of systems based on noisy measurements of performance index. Also, algorithms that assure convergence to the global optimum are presented. Parallel operation of automata systems for improving speed of convergence is described. The authors also include extensive discussion of how learning automata solutions can be constructed in a variety of applications.

General

Imprint:	Springer-Verlag New York
Country of origin:	United States
Release date:	October 2003
First published:	2004
Authors:	M.A.L. Thathachar • P.S. Sastry
Dimensions:	235 x 155 x 19mm (L x W x T)
Format:	Hardcover
Pages:	268
Edition:	2004 ed.
ISBN-13:	978-1-4020-7691-6
Categories:	Books > Science & Mathematics > Mathematics > Optimization > General Books > Science & Mathematics > Mathematics > Applied mathematics > Stochastics Books > Computing & IT > Applications of computing > Artificial intelligence > Machine learning Books > Computing & IT > Applications of computing > Artificial intelligence > Neural networks Promotions
LSN:	1-4020-7691-6
Barcode:	9781402076916

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