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  • Open Daily: 10am - 10pm
    Alley-side Pickup: 10am - 7pm

    3038 Hennepin Ave Minneapolis, MN
    612-822-4611

Open Daily: 10am - 10pm | Alley-side Pickup: 10am - 7pm
3038 Hennepin Ave Minneapolis, MN
612-822-4611
Networks of Learning Automata: Techniques for Online Stochastic Optimization

Networks of Learning Automata: Techniques for Online Stochastic Optimization

Thathachar, M. A. L.
Sastry, P. S.

Hardcover

General ComputersNetworkingProbability & Statistics

ISBN10: 1402076916
ISBN13: 9781402076916
Publisher: Springer
Published: Oct 31 2003
Pages: 268
Weight: 1.35
Height: 0.90 Width: 6.40 Depth: 9.50
Language: English
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.

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