Stochastic Dynamics and Learning Rules in Layered Neural Networks : Genaral and Mathematical Physics
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概要
- 論文の詳細を見る
We propose two kinds of layered neural network models using stochastic dynamics. One is a feedforward type of the Boltzmann machine, i.e., the network has probabilistic input-output relation. The other model utilizes a stochastic dynamics for a learning rule to avoid the difficulty being trapped in the local minima of an error function.
- 一般社団法人日本物理学会の論文
- 1990-04-25
著者
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Sakaguchi Hidetsugu
Department Of Applied Physics Faculty Of Engineering Kyushu University
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SAKAGUCHI Hidetsugu
Department of Physics, College of General Education, Kyushu University
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SAKAGUCHI Hidetsugu
Department of Physics, Kyoto University
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SAKAGUCHI Hidetsugu
Department of Applied Sciences for Electronics and Materials Interdisciplinary Graduate School of Engineering Sciences Kyushu University
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