Learning Automata and Stochastic Optimiz
β A. S. Poznyak, K. Najim (auth.)
π Library
π
1997
π Springer-Verlag Berlin Heidelberg
π English
β¦ LIBER β¦
π
Networks of Learning Automata: Techniques for Online Stochastic Optimization
β Scribed by M. A. L. Thathachar, P. S. Sastry (auth.)
- Publisher
- Springer US
- Year
- 2004
- Tongue
- English
- Leaves
- 274
- Edition
- 1
- Category
- Library
β¬ Acquire This Volume
No coin nor oath required. For personal study only.
β¦ Synopsis
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.
β¦ Table of Contents
Front Matter....Pages i-xv
Introduction....Pages 1-49
Games of Learning Automata....Pages 51-103
Feedforward Networks....Pages 105-138
Learning Automata for Pattern Classification....Pages 139-176
Parallel Operation of Learning Automata....Pages 177-204
Some Recent Applications....Pages 205-222
Epilogue....Pages 223-225
Back Matter....Pages 227-268
β¦ Subjects
Statistical Physics, Dynamical Systems and Complexity;Language Translation and Linguistics;Operation Research/Decision Theory;Artificial Intelligence (incl. Robotics);Computer Science, general
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