Presentation | 2017-01-26 Associative memory model storing memory patterns with nonuniform learning frequency and correlation structure Akinori Takemoto, Tomoyuki Kimoto, |
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PDF Download Page | PDF download Page Link |
Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | In this study, we analyze stable states of an autocorrelation associative memory model storing memory patterns with nonuniform learning frequency and correlation structure by statistical mechanics and computer simulation. We use abstract memory pattern possessing two information such as the difference of the individuals and the observation direction in 2D observation image like human faces. In addition, we use abstract difference of learning frequency of memory patterns by observation direction difference. As the result of analysis, we found that there are several types of stable states, one is a state possessing information of differences among individual, and the others are the state losting the information. We found that individual identification that does not depend on observation direction is possible by the stable state possessing individual information. We also found that the stability of the stable state possessing individual information is increased by the influence of nonuniform learning frequency. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | Hopfield model / nonuniform learning frequency / correlation structure pattern / mixed state |
Paper # | NC2016-49 |
Date of Issue | 2017-01-19 (NC) |
Conference Information | |
Committee | NC / NLP |
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Conference Date | 2017/1/26(2days) |
Place (in Japanese) | (See Japanese page) |
Place (in English) | Kitakyushu Foundation for the Advanement of Ind. Sci. and Tech. |
Topics (in Japanese) | (See Japanese page) |
Topics (in English) | Implementation of Neuro Computing,Analysis and Modeling of Human Science, etc |
Chair | Shigeo Sato(Tohoku Univ.) / Hisato Fujisaka(Hiroshima City Univ.) |
Vice Chair | Masafumi Hagiwara(Keio Univ.) / Masaharu Adachi(Tokyo Denki Univ.) |
Secretary | Masafumi Hagiwara(Kyoto Sangyo Univ.) / Masaharu Adachi(Tokyo Inst. of Tech.) |
Assistant | Hisanao Akima(Tohoku Univ.) / Yoshihisa Shinozawa(Keio Univ.) / Hiroyuki Asahara(Okayama Univ. of Science) / Toshihiro Tachibana(Shonan Inst. of Tech.) |
Paper Information | |
Registration To | Technical Committee on Neurocomputing / Technical Committee on Nonlinear Problems |
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Language | JPN |
Title (in Japanese) | (See Japanese page) |
Sub Title (in Japanese) | (See Japanese page) |
Title (in English) | Associative memory model storing memory patterns with nonuniform learning frequency and correlation structure |
Sub Title (in English) | |
Keyword(1) | Hopfield model |
Keyword(2) | nonuniform learning frequency |
Keyword(3) | correlation structure pattern |
Keyword(4) | mixed state |
1st Author's Name | Akinori Takemoto |
1st Author's Affiliation | National Institute of Technology, Oita College(NIT, Oita College) |
2nd Author's Name | Tomoyuki Kimoto |
2nd Author's Affiliation | National Institute of Technology, Oita College(NIT, Oita College) |
Date | 2017-01-26 |
Paper # | NC2016-49 |
Volume (vol) | vol.116 |
Number (no) | NC-424 |
Page | pp.pp.7-12(NC), |
#Pages | 6 |
Date of Issue | 2017-01-19 (NC) |