Presentation | 1997/2/6 The Character and Pattern Segmentation using the Local Connected Neural Oscillators Network Hiroaki Kurokawa, Ying Ho Chun, Shinsaku Mori, |
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Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | Since the applications of oscillatory neural network for information processing are well interested, the method to control the phase or the frequency of oscillatory neural networks are required for its future development. Authors have proposed the learning method to achieve In-phase oscillation between some external periodic function and a neural oscillator. In this study, to achieve information processing by means of the oscillatory neural network, we proposed local connected neural oscillators network. Using this oscillators network, the pattern segmentation problems are able to solve. The proposed oscillators network is applied to simple pattern segmentation and character segmentation in this study. Successful examples of the pattem segmentation are shown by the computer simulation. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | Oscillatory Network / Learning / Character Recognition |
Paper # | NLP96-133,NC96-87 |
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Committee | NC |
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Conference Date | 1997/2/6(1days) |
Place (in Japanese) | (See Japanese page) |
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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) | The Character and Pattern Segmentation using the Local Connected Neural Oscillators Network |
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Keyword(1) | Oscillatory Network |
Keyword(2) | Learning |
Keyword(3) | Character Recognition |
1st Author's Name | Hiroaki Kurokawa |
1st Author's Affiliation | Dept. of Elec. Eng. Keio University() |
2nd Author's Name | Ying Ho Chun |
2nd Author's Affiliation | Dept. of Elec. Eng. City University of Hong Kong |
3rd Author's Name | Shinsaku Mori |
3rd Author's Affiliation | Dept. of Elec. Eng. Keio University |
Date | 1997/2/6 |
Paper # | NLP96-133,NC96-87 |
Volume (vol) | vol.96 |
Number (no) | 511 |
Page | pp.pp.- |
#Pages | 8 |
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