Presentation | 2003/11/14 Nerve Field Dynamics of Neural Network with Cyclic Connections Shinya SUENAGA, Yoshihiro HAYAKAWA, Koji NAKAJIMA, |
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Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | We analyse a dynamics of neural network with cyclic and antisymmetric connections. Particularly the focus points of this analyse are many kinds of limitcycles. In this paper, two different apporoximation methods which replaces original tanh type activation function with a high gain limit function and with a linear function are used. Although periods of limitcycles relate to some parameters of this type neural network, the detailed relation can be obtained by means of these methods. Futhermore, we discuss the detailed relations between characteristics of the network and the limit cycle. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | Limit Cycle / Cyclic Connections / Neural Network |
Paper # | NLP2003-107 |
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Committee | NLP |
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Conference Date | 2003/11/14(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) | Nerve Field Dynamics of Neural Network with Cyclic Connections |
Sub Title (in English) | |
Keyword(1) | Limit Cycle |
Keyword(2) | Cyclic Connections |
Keyword(3) | Neural Network |
1st Author's Name | Shinya SUENAGA |
1st Author's Affiliation | Laboratory for Electronic Intelligent Systems, Research Institute of Electrical Communication, Tohoku University() |
2nd Author's Name | Yoshihiro HAYAKAWA |
2nd Author's Affiliation | Laboratory for Electronic Intelligent Systems, Research Institute of Electrical Communication, Tohoku University |
3rd Author's Name | Koji NAKAJIMA |
3rd Author's Affiliation | Laboratory for Electronic Intelligent Systems, Research Institute of Electrical Communication, Tohoku University |
Date | 2003/11/14 |
Paper # | NLP2003-107 |
Volume (vol) | vol.103 |
Number (no) | 463 |
Page | pp.pp.- |
#Pages | 6 |
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