Presentation | 2003/5/22 The Property of Inverse Delayed Model Yoshihiro HAYAKAWA, Jun FUKUHARA, Tatsuaki DENDA, Koji NAKAJIMA, |
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Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | The Inverse Delayed model is derived from the macroscopic model. However this model behaves as a microscopic model because of having the negative resistance region and it has the easy applicable property to the information process as well as the ordinary neural networks based on dynamics in the potential. In this report, we demonstrate the single ID model behavior as a microscopic model, then we discuss the effect of the negative resistance on the ID model networks. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | negative resistance region / inverse function / neural network / optimization problem / backpropagation |
Paper # | NC2003-4 |
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Committee | NC |
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Conference Date | 2003/5/22(1days) |
Place (in Japanese) | (See Japanese page) |
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Registration To | Neurocomputing (NC) |
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Language | JPN |
Title (in Japanese) | (See Japanese page) |
Sub Title (in Japanese) | (See Japanese page) |
Title (in English) | The Property of Inverse Delayed Model |
Sub Title (in English) | |
Keyword(1) | negative resistance region |
Keyword(2) | inverse function |
Keyword(3) | neural network |
Keyword(4) | optimization problem |
Keyword(5) | backpropagation |
1st Author's Name | Yoshihiro HAYAKAWA |
1st Author's Affiliation | Laboratory for Electronic Intelligent Systems, Research Institute of Electrical Communication, Tohoku University() |
2nd Author's Name | Jun FUKUHARA |
2nd Author's Affiliation | Laboratory for Electronic Intelligent Systems, Research Institute of Electrical Communication, Tohoku University |
3rd Author's Name | Tatsuaki DENDA |
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 | 2003/5/22 |
Paper # | NC2003-4 |
Volume (vol) | vol.103 |
Number (no) | 92 |
Page | pp.pp.- |
#Pages | 6 |
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