Presentation | 1994/10/13 Complex Back-Propagation with Local Feedback Makoto Kinouchi, Masafumi Hagiwara, |
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Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | To deal with temporal patterns is very important and difficult problem for applications of neural networks.In this paper,we propose local feedback multilayered networks,a paticular class of reccurent networks,using 'complex neuron'.Complex number can express time by the phase component.We derive simple learning algorithm based on the back-propagation to deal with temporal patterns.It is shown in some computer simulations that the proposed complex networks have better ability than the conventional real networks. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | temporal patterns / recurrent networks / local feedback / complex number / back-propagation |
Paper # | NC94-40 |
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Committee | NC |
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Conference Date | 1994/10/13(1days) |
Place (in Japanese) | (See Japanese page) |
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Topics (in Japanese) | (See Japanese page) |
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Paper Information | |
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) | Complex Back-Propagation with Local Feedback |
Sub Title (in English) | |
Keyword(1) | temporal patterns |
Keyword(2) | recurrent networks |
Keyword(3) | local feedback |
Keyword(4) | complex number |
Keyword(5) | back-propagation |
1st Author's Name | Makoto Kinouchi |
1st Author's Affiliation | Department of Electorical Engineering,Faculty of Science and Technology,Keio University() |
2nd Author's Name | Masafumi Hagiwara |
2nd Author's Affiliation | Department of Electorical Engineering,Faculty of Science and Technology,Keio University |
Date | 1994/10/13 |
Paper # | NC94-40 |
Volume (vol) | vol.94 |
Number (no) | 272 |
Page | pp.pp.- |
#Pages | 8 |
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