Presentation | 2001/3/10 Learning Process and Bifurcation in Recurrent Neural Networks Y. Uwate, Y. Nakamura, |
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Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | A change of phase status of a recurrent neural network occurs by applying of learning algorithm. In other words various kinds of bifurcation phenomena are observed in learning process. In this paper, we observed learning process for simple neural oscillator that bifurcation structure was clarified and relation between learning and bifurcations is considered. By using finite time interval learning a limit cycle is learned, and the learning path is illustrated in bifurcation diagram. As a result. we confirmed that vibration of learning happened at neighborhood of tangent bifurcation curves of equilibrium points and limit cycles. Moreover. in learning path along a tangent bifurcation curve of equilibrium point, it is confirmed that the case that did not arrive to a teacher point exists. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | Recurrent neural network / Bifurcation phenomenon / Learning process / Limit cycle |
Paper # | NLP2000-168 |
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Conference Information | |
Committee | NLP |
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Conference Date | 2001/3/10(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 | 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) | Learning Process and Bifurcation in Recurrent Neural Networks |
Sub Title (in English) | |
Keyword(1) | Recurrent neural network |
Keyword(2) | Bifurcation phenomenon |
Keyword(3) | Learning process |
Keyword(4) | Limit cycle |
1st Author's Name | Y. Uwate |
1st Author's Affiliation | Department of Electrical Engineering, Anan College of Technology() |
2nd Author's Name | Y. Nakamura |
2nd Author's Affiliation | Department of Electrical Engineering, Anan College of Technology |
Date | 2001/3/10 |
Paper # | NLP2000-168 |
Volume (vol) | vol.100 |
Number (no) | 681 |
Page | pp.pp.- |
#Pages | 6 |
Date of Issue |