Learning behaviors of the hierarchical structure stochastic automata : Operating in the nonstationary multiteacher environment

Learning behaviors of the hierarchical structure stochastic automata : Operating in the nonstationary multiteacher environment
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DOI:
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发表时间:
2005
期刊:
Lecture Notes in Computer Science
影响因子:
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通讯作者:
N. Baba;Y. Mogami
N. Baba;Y. Mogami
中科院分区:
其他
文献类型:
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作者:
N. Baba;Y. Mogami

文献摘要

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针对非平稳多教师环境下的层次结构学习自动机,提出了一种新的学习算法。通过下面的几个计算机模拟研究,将所提出的算法的有效性与修改的DGPA算法进行比较。
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.