Presentation 2003/10/14
The design of neurochip with Inverse Delayed model
Tatsuaki DENDA, Shinya SUENAGA, Yoshihiro HAYAKAWA, Koji NAKAJIMA,
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Abstract(in English) We can realize high-speed information parallel processing by implementing the hardware of neural networks. ID model has the possibility to escape from the local minimum by using the negative resistance region given by the N-type nonlinear output inverse function. Therefore, we expect that both high performance for searching solutions of optimization problems and high-speed information processing can be realized by implementing the hardware of ID model. We design full connected neural networks with 36 neurons and 1296 synapses based on analog circuits. In this report, we describe implementation of the hardware neural networks with ID model, then check the behavior of designed neurochip by HSPICE simulations.
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Keyword(in English) negative resistance region / N-type nonlinear output inverse function / neurochip / optimization problem
Paper # NLP2003-91
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Committee NLP
Conference Date 2003/10/14(1days)
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Paper Information
Registration To Nonlinear Problems (NLP)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) The design of neurochip with Inverse Delayed model
Sub Title (in English)
Keyword(1) negative resistance region
Keyword(2) N-type nonlinear output inverse function
Keyword(3) neurochip
Keyword(4) optimization problem
1st Author's Name Tatsuaki DENDA
1st Author's Affiliation Laboratory for Electronic Intelligent Systems, Research Institute of Electrical Communication, Tohoku University()
2nd Author's Name Shinya SUENAGA
2nd Author's Affiliation Laboratory for Electronic Intelligent Systems, Research Institute of Electrical Communication, Tohoku University
3rd Author's Name Yoshihiro HAYAKAWA
3rd Author's Affiliation Laboratory for Electronic Intelligent Systems, Research Institute of Electrical Communication, Tohoku University
4th Author's Name Koji NAKAJIMA
4th Author's Affiliation Laboratory for Electronic Intelligent Systems, Research Institute of Electrical Communication, Tohoku University
Date 2003/10/14
Paper # NLP2003-91
Volume (vol) vol.103
Number (no) 375
Page pp.pp.-
#Pages 6
Date of Issue