Presentation | 2010-12-13 Investigation of Image Processing by Partitioned Hopfield Neural Network Tomoya SHIMA, Chihiro IKUTA, Yoko UWATE, Yoshifumi NISHIO, |
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Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | Memory ability of human is one of interesting high-functional information processing. In this study, in order to realize the memory ability of the human brain by using a artificial neural network, a "Partitioned Hopfield Neural Network (PHNN)" is proposed. By computer simulations, we confirm that the proposed PHNN recalls the whole image from a part of the stored images. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | Hopfield Neural Network / Image Processing / Associative Memory |
Paper # | NLP2010-119 |
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Committee | NLP |
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Conference Date | 2010/12/6(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) | Investigation of Image Processing by Partitioned Hopfield Neural Network |
Sub Title (in English) | |
Keyword(1) | Hopfield Neural Network |
Keyword(2) | Image Processing |
Keyword(3) | Associative Memory |
1st Author's Name | Tomoya SHIMA |
1st Author's Affiliation | Department of Electrical and Electronic Engineering, Tokushima University() |
2nd Author's Name | Chihiro IKUTA |
2nd Author's Affiliation | Department of Electrical and Electronic Engineering, Tokushima University |
3rd Author's Name | Yoko UWATE |
3rd Author's Affiliation | Department of Electrical and Electronic Engineering, Tokushima University |
4th Author's Name | Yoshifumi NISHIO |
4th Author's Affiliation | Department of Electrical and Electronic Engineering, Tokushima University |
Date | 2010-12-13 |
Paper # | NLP2010-119 |
Volume (vol) | vol.110 |
Number (no) | 335 |
Page | pp.pp.- |
#Pages | 5 |
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