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 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.
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Keyword(in English) Hopfield Neural Network / Image Processing / Associative Memory
Paper # NLP2010-119
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Conference Information
Committee NLP
Conference Date 2010/12/6(1days)
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Registration To Nonlinear Problems (NLP)
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
Date of Issue