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A note on learning automata-based schemes for adaptation of BP parameters

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Publication:1852040
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DOI10.1016/S0925-2312(01)00686-5zbMath1006.68749OpenAlexW2059442341MaRDI QIDQ1852040

M. R. Meybodi, Hamid Beigy

Publication date: 9 January 2003

Published in: Neurocomputing (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/s0925-2312(01)00686-5


zbMATH Keywords

Neural networkBackpropagationLearning automataLearning rateMomentum factorSteepness parameter


Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05) Computing methodologies and applications (68U99)


Related Items (8)

A MATHEMATICAL FRAMEWORK FOR CELLULAR LEARNING AUTOMATA ⋮ Learning from positive and negative examples: new proof for binary alphabets ⋮ OPEN SYNCHRONOUS CELLULAR LEARNING AUTOMATA ⋮ Asynchronous cellular learning automata ⋮ A learning automata-based algorithm for determination of the number of hidden units for three-layer neural networks ⋮ CELLULAR LEARNING AUTOMATA BASED DYNAMIC CHANNEL ASSIGNMENT ALGORITHMS ⋮ A new continuous action-set learning automaton for function optimization ⋮ UTILIZING DISTRIBUTED LEARNING AUTOMATA TO SOLVE STOCHASTIC SHORTEST PATH PROBLEMS




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