Learning behaviors of the hierarchical structure stochastic automata

Authors:
Norio Baba;Yoshio Mogami
Affiliations:
Department of Information Science, Osaka Kyoiku University, Kashiwara City, Osaka Prefecture, Japan;Department of Information Science and Intelligent Systems, Faculty of Engineering, University of Tokushima, Tokushima City, Tokushima Prefecture, Japan
Venue:
KES'05 Proceedings of the 9th international conference on Knowledge-Based Intelligent Information and Engineering Systems - Volume Part I
Year:
2005

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Abstract

A new learning algorithm for the hierarchical structure learning automata operating in the nonstationary multiteacher environment is proposed. The efficacy of the proposed algorithm is compared with the modified DGPA algorithm by the several computer simulation studies below.