Parallel Dynamics of Continuous Hopfield Model Revisited(General)
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概要
- 論文の詳細を見る
We have applied the generating functional analysis (GFA) to the continuous Hopfield model. We have also confirmed that the GFA predictions in some typical cases exhibit good consistency with computer simulation results. When a retarded self-interaction term is omitted, the GFA result becomes identical to that obtained using the statistical neurodynamics as well as the case of the sequential binary Hopfield model.
- 一般社団法人日本物理学会の論文
- 2009-03-15
著者
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Mimura Kazushi
Graduate School Of Information Sciences Hiroshima City University
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MIMURA Kazushi
Graduate School of Information Sciences, Hiroshima City University
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- Parallel Dynamics of Continuous Hopfield Model Revisited(General)