Entropy Based Associative Memory(<Special Section>Selected Papers from the 18th Workshop on Circuits and Systems in Karuizawa)
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概要
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In this paper, an entropy based associative memory model will be proposed and applied to memory retrievals with an orthogonal learning model to compare with the conventional model based on the quadratic Lyapunov functional to be minimized. In the present approach, the updating dynamics will be constructed on the basis of the entropy minimization strategy which may be reduced asymptotically to the above-mentioned autocorrelation dynamics as a special case. From numerical results, it will be found that the presently proposed novel approach realizes twice of the memory capacity in comparison with the autocorrelation based dynamics such as associatron.
- 社団法人電子情報通信学会の論文
- 2006-04-01
著者
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NAKAGAWA Masahiro
Department of Electrical Engineering, Faculty of Engineering, Nagaoka University of Technology
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Nakagawa Masahiro
Nagaoka Univ. Technol. Nagaoka‐shi Jpn
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Nakagawa Masahiro
Deparment Of Electrical Engineering Faculty Of Engineering Nagaoka University Of Technology
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