Presentation 2003/5/1
Association Property of an Inverse Delayed Neural Network
Hongge Li, Shunsuke Akimoto, Yoshihiro Hayakawa, Shigeo Sato, Koji Nakajima,
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Abstract(in English) At present, the development of artificial neural network has obtained the satisfying success. Many models of neural network have been proposed and investigated. We have recently proposed a novel neuron model in a critical state. Theoretical investigations explain that the neuron of Inverse Delayed model has the advantage than conventional neuron models. In order to further discuss the fundamental characteristics of Inverse Delayed model, in the present study, we carry out the numerical experiment of storage capacity and dynamic behaviours on the ID model (Inverse Delayed Model) in detail. In order to compare the simulation results, we simulate the different neural network models separately including the Hopfield model, ID model and non-negative resistance ID model in the same condition. We further confirm the property of ID model through the simulation results. At last, we introduce an architecture of hardware that can be realized with stochastic logic.
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Keyword(in English) Neural Network / ID model / Negative Resistance / Capacity / stochastic logic
Paper # NLP2003-4
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Conference Information
Committee NLP
Conference Date 2003/5/1(1days)
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Registration To Nonlinear Problems (NLP)
Language ENG
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Association Property of an Inverse Delayed Neural Network
Sub Title (in English)
Keyword(1) Neural Network
Keyword(2) ID model
Keyword(3) Negative Resistance
Keyword(4) Capacity
Keyword(5) stochastic logic
1st Author's Name Hongge Li
1st Author's Affiliation Research Institute of Electrical Communication, Tohoku University()
2nd Author's Name Shunsuke Akimoto
2nd Author's Affiliation Research Institute of Electrical Communication, Tohoku University
3rd Author's Name Yoshihiro Hayakawa
3rd Author's Affiliation Research Institute of Electrical Communication, Tohoku University
4th Author's Name Shigeo Sato
4th Author's Affiliation Research Institute of Electrical Communication, Tohoku University
5th Author's Name Koji Nakajima
5th Author's Affiliation Research Institute of Electrical Communication, Tohoku University
Date 2003/5/1
Paper # NLP2003-4
Volume (vol) vol.103
Number (no) 37
Page pp.pp.-
#Pages 6
Date of Issue