| Presentation | 2001/8/31 A Memory Search Using Chaotic Neural Networks Kazunari Ito, Hiroaki Saito, |
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| PDF Download Page | PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | An associative memory model using chaotic neural networks can recall several patterns dynamically. Using this feature, a memory search system which seeks a stored pattern has been proposed. We report a novel method of the memory search by adding the control clause as an external input clause to an output function of chaotic neurons. This method is applied to the network where six kinds of pattern are stored by the correlational learning method to evaluate the recall rate. Performance of the memory search system has been greatly improved in comparison with the conventional methods. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | chaos / neural network / memory search |
| Paper # | CAS2001-62,NLP2001-51 |
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| Conference Information | |
| Committee | NLP |
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| Conference Date | 2001/8/31(1days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | |
| Topics (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) | A Memory Search Using Chaotic Neural Networks |
| Sub Title (in English) | |
| Keyword(1) | chaos |
| Keyword(2) | neural network |
| Keyword(3) | memory search |
| 1st Author's Name | Kazunari Ito |
| 1st Author's Affiliation | Department of Science for Open and Environmental Systems, Keio University() |
| 2nd Author's Name | Hiroaki Saito |
| 2nd Author's Affiliation | Department of Science for Open and Environmental Systems, Keio University |
| Date | 2001/8/31 |
| Paper # | CAS2001-62,NLP2001-51 |
| Volume (vol) | vol.101 |
| Number (no) | 278 |
| Page | pp.pp.- |
| #Pages | 6 |
| Date of Issue | |