Presentation | 1997/3/17 Dynamics of recurrent complex-valued neural networks Hirofumi ONISHI, Akira HIROSE, |
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Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | Complex-valued neural networks are to be fundamental to realize quantum neural devices and coherent optical neural networks in the future. In this paper, dynamics of recurrent complex-valued neural networks are numerically analyzed. The conclusions are as follows : 1)A 'drift' phenomenon is synchronously induced. 2)Trajectory instability is caused by the drift, although it is usually suppressed. 3)The networks are very sensitive to external input-signals, resulting in a phase lock. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | Recurrent complex-valued neural networks / Drift / Lyapunov spectrum / Phase lock |
Paper # | NC96-123 |
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Committee | NC |
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Conference Date | 1997/3/17(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) | Dynamics of recurrent complex-valued neural networks |
Sub Title (in English) | |
Keyword(1) | Recurrent complex-valued neural networks |
Keyword(2) | Drift |
Keyword(3) | Lyapunov spectrum |
Keyword(4) | Phase lock |
1st Author's Name | Hirofumi ONISHI |
1st Author's Affiliation | Research Center for Advanced Science and Technology (RCAST), University of Tokyo() |
2nd Author's Name | Akira HIROSE |
2nd Author's Affiliation | Research Center for Advanced Science and Technology (RCAST), University of Tokyo |
Date | 1997/3/17 |
Paper # | NC96-123 |
Volume (vol) | vol.96 |
Number (no) | 583 |
Page | pp.pp.- |
#Pages | 8 |
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