Presentation | 2001/3/10 An experimental study on the basin of attraction in associative neural networks with a weighted pattern storage Masaaki KANAKUBO, Masaharu ADACHI, |
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Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | In this paper, we numerically analyse the dynamics of associative neural networks in which stored patterns are embedded with a weighted auto-associative matrix. The networks are composed of static model neurons and random model neurons. As the weight to a stored pattern is larger, the basin of attraction to the pattern is wider in the static neural network, and the retrieval frequency of the pattern is higher in the random neural network. Moreover, it is shown that the weighting to the stored pattern in the higher strage capacity is more effective to the enlargement of the basin of attraction than that in the lower capacity. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | associative memory / neural network / weighted auto-associative matrix |
Paper # | NLP2000-175 |
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Committee | NLP |
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Conference Date | 2001/3/10(1days) |
Place (in Japanese) | (See Japanese page) |
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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) | An experimental study on the basin of attraction in associative neural networks with a weighted pattern storage |
Sub Title (in English) | |
Keyword(1) | associative memory |
Keyword(2) | neural network |
Keyword(3) | weighted auto-associative matrix |
1st Author's Name | Masaaki KANAKUBO |
1st Author's Affiliation | Dept. of Electronic Engineering, Graduate School of Engineering, Tokyo Denki Univ.() |
2nd Author's Name | Masaharu ADACHI |
2nd Author's Affiliation | Dept. of Electronic Engineering, Graduate School of Engineering, Tokyo Denki Univ.:Dept. of Electronic Engineering, College of Engineering, Tokyo Denki University |
Date | 2001/3/10 |
Paper # | NLP2000-175 |
Volume (vol) | vol.100 |
Number (no) | 681 |
Page | pp.pp.- |
#Pages | 6 |
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