Presentation | 2003/1/28 Research of the Learning Process in a Recurrent Neural Network with Delayed Context Information Satoshi SHIMADA, Kouji HARADA, Norio SHIRATORI, |
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Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | Nerve biology shows clearly that delay exists in the communication in a brain system, and some neural network models which took delay into consideration based on this fact are proposed. One of them, there are SRN (Simple Recurrent Network) proposed by Elman. SRN are multilayer perceptron networks. They can learn time series by outputs of the hidden layer fed back as inputs to that layer. The purpose of this research is clarifying the influence of delay to learning and generalization by using extended SRN model that can preserve delayed information from 1 to D steps. We used a^nb^n, one of the context-free language, related to natural language, as a learning sample. By this research, it became dear that introduction of delay is effective in learning and generalization. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | SRN / delay / context-free language / generalization |
Paper # | NLP2002-113 |
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Committee | NLP |
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Conference Date | 2003/1/28(1days) |
Place (in Japanese) | (See Japanese page) |
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Paper Information | |
Registration To | Nonlinear Problems (NLP) |
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Language | JPN |
Title (in Japanese) | (See Japanese page) |
Sub Title (in Japanese) | (See Japanese page) |
Title (in English) | Research of the Learning Process in a Recurrent Neural Network with Delayed Context Information |
Sub Title (in English) | |
Keyword(1) | SRN |
Keyword(2) | delay |
Keyword(3) | context-free language |
Keyword(4) | generalization |
1st Author's Name | Satoshi SHIMADA |
1st Author's Affiliation | Research Institute of Electrical Communication, Tohoku University() |
2nd Author's Name | Kouji HARADA |
2nd Author's Affiliation | Research Institute of Electrical Communication, Tohoku University |
3rd Author's Name | Norio SHIRATORI |
3rd Author's Affiliation | Research Institute of Electrical Communication, Tohoku University |
Date | 2003/1/28 |
Paper # | NLP2002-113 |
Volume (vol) | vol.102 |
Number (no) | 626 |
Page | pp.pp.- |
#Pages | 6 |
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