Temporal Sequences of Patterns with an Inverse Function Delayed Neural Network(Control, Neural Networks and Learning,<Special Section>Nonlinear Theory and its Applications)
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概要
- 論文の詳細を見る
A network based on the Inverse Function Delayed (ID) model which can recall a temporal sequence of patterns, is proposed. The classical problem that the network is forced to make long distance jumps due to strong attractors that have to be isolated from each other, is solved by the introduction of the ID neuron. The ID neuron has negative resistance in its dynamics which makes a gradual change from one attractor to another possible. It is then shown that a network structure consisting of paired conventional and ID neurons, perfectly can recall a sequence.
- 社団法人電子情報通信学会の論文
- 2006-10-01
著者
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Hayakawa Yoshihiro
Laboratory For Brainware Systems Laboratory For Nanoelectronics And Spintronics Research Institute O
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Hayakawa Yoshihiro
Tohoku Univ. Sendai‐shi Jpn
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Sveholm Johan
Laboratory For Brainware Systems Laboratory For Nanoelectronics And Spintronics Research Institute O
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NAKAJIMA Koji
Laboratory for Brainware Systems, Laboratory for Nanoelectronics and Spintronics, Research Institute
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Hayakawa Yoshihiro
Laboratory For Brainware Reseach Institute Of Electrical Comunication Tohoku University:laboratory F
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Nakajima Koji
Tohoku Univ. Sendai‐shi Jpn
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Nakajima Koji
Laboratory For Brainware Reseach Institute Of Electrical Comunication Tohoku University:laboratory F
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