Presentation | 2015-01-29 Associative memory and amplitude death of hysteresis neural networks Kei YAMAOKA, Toshimichi SAITO, |
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Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | This paper studies effects of the amplitude death on the storage function of the hysteresis neural network. Applying the correlation-based learning, desired memories can be stored into the network. The amplitude death is a nonlinear phenomenon such that oscillatory state of neurons is changed into stable equilibrium state by coupling of the neurons. Performing basic numerical experiments, we suggest that the amplitude death can be effect to enlarge the domain of attraction to the stored memories. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | Associative Memories / Correlation Learning / Amplitude Death |
Paper # | NC2014-58 |
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Committee | NC |
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Conference Date | 2015/1/22(1days) |
Place (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) | Associative memory and amplitude death of hysteresis neural networks |
Sub Title (in English) | |
Keyword(1) | Associative Memories |
Keyword(2) | Correlation Learning |
Keyword(3) | Amplitude Death |
1st Author's Name | Kei YAMAOKA |
1st Author's Affiliation | EE Dept., Hosei University() |
2nd Author's Name | Toshimichi SAITO |
2nd Author's Affiliation | EE Dept., Hosei University |
Date | 2015-01-29 |
Paper # | NC2014-58 |
Volume (vol) | vol.114 |
Number (no) | 437 |
Page | pp.pp.- |
#Pages | 4 |
Date of Issue |