Knowledge-Based Intelligent Information and Engineering Systems
Lecture Notes in Computer Science, 2007, Volume 4694/2007, 82-90, DOI: 10.1007/978-3-540-74829-8_11

A Consideration on the Learning Performances of the Hierarchical Structure Learning Automata (HSLA) Operating in the General Nonstationary Multiteacher Environment

Norio Baba and Yoshio Mogami

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Abstract

Learning behaviors of the hierarchical structure learning automata (HSLA) with the three representative algorithms under the nonstationary multiteacher environments are considered. Several computer simulations confirm the effectiveness of the newly developed relative reward strength algorithm (NRRSA).

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