A learning automata-based algorithm for determination of the number of hidden units for three-layer neural networks

DOI10.1080/00207720802145924zbMath1181.68187OpenAlexW1995463892MaRDI QIDQ3612789

Hamid Beigy, M. R. Meybodi

Publication date: 10 March 2009

Published in: International Journal of Systems Science (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/00207720802145924

zbMATH Keywords

learning automatabackpropagationmulti-layer neural networksneural networks engineeringneural networks topology

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05) Neural networks for/in biological studies, artificial life and related topics (92B20)

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Cites Work

• A note on learning automata-based schemes for adaptation of BP parameters
• An adaptive call admission algorithm for cellular networks
• Learning Optimal Discriminant Functions through a Cooperative Game of Automata
• Deterministic learning automata solutions to the equipartitioning problem
• Graph partitioning using learning automata

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