Presentation | 1997/3/17 Successive Learning in Chaotic Neural Network Yuko OSANA, Monotobu HATTORI, Masafumi HAGIWARA, |
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Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | In this paper, we propose a successive learning method in a chaotic neural network using continuous pattern input. It distinguishes an unknown pattern from the stored known patterns and learns the unknown pattern successively. In this model, when a known pattern is given to the network, around the input pattern is searched. In contrast, when an unknown pattern is given, a chaotic itinerancy is shown. In the proposed model, it makes use of the above property in order to distinguish an unknown pattern from the stored known patterns. When the input pattern is regarded as an unknown pattern, the pattern is memorized. Furthermore, it can estimate and learn a correct pattern from a noisy unknown pattern or an incomplete unknown pattern by summation of the successive input pattern. In addition, similarity to the physiological facts in the olfactory bulb of the rabbit found by Freeman are observed in the behavior of the proposed model. A series of computer simulations shows the effectiveness of the proposed model. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | Associative Memory / Chaotic Neural Network / Successive Learning |
Paper # | NC96-132 |
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Committee | NC |
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Conference Date | 1997/3/17(1days) |
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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) | Successive Learning in Chaotic Neural Network |
Sub Title (in English) | |
Keyword(1) | Associative Memory |
Keyword(2) | Chaotic Neural Network |
Keyword(3) | Successive Learning |
1st Author's Name | Yuko OSANA |
1st Author's Affiliation | Department of Electrical Engineering, Faculty of Science and Technology, Keio University() |
2nd Author's Name | Monotobu HATTORI |
2nd Author's Affiliation | Department of Electrical Engineering, Faculty of Science and Technology, Keio University |
3rd Author's Name | Masafumi HAGIWARA |
3rd Author's Affiliation | Department of Electrical Engineering, Faculty of Science and Technology, Keio University |
Date | 1997/3/17 |
Paper # | NC96-132 |
Volume (vol) | vol.96 |
Number (no) | 583 |
Page | pp.pp.- |
#Pages | 8 |
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