Presentation | 1999/11/26 Voronoi division using Chaos Neural Networks Masayuki KASHIMA, Kiminori SATO, Yukutoshi TAKAHASHI, |
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Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | In this paper, we propose a method that voronoi division using Chaos Neural Networks. Chaos Neuron has a chaos oscillator, and output is decided in the condition of chaos oscillator. Chaos oscillator that is kernel point vibrates independently of other osillator of neurons. Neurons that is connected with kernel point come to have the same osillation of kernel neuron. In this way, oscillation of kernel point spreads to neibour neurons, and territory of kernel point is decided. In this paper, we show that division of 1-dimensional space and 2-dimensional space using Chaos Neural Networks. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | Complex system / Coupled map / chaos oscillator / Neural netowrk / Voronoi diagram. |
Paper # | NC99-60 |
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Committee | NC |
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Conference Date | 1999/11/26(1days) |
Place (in Japanese) | (See Japanese page) |
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Topics (in Japanese) | (See Japanese page) |
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Paper Information | |
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) | Voronoi division using Chaos Neural Networks |
Sub Title (in English) | |
Keyword(1) | Complex system |
Keyword(2) | Coupled map |
Keyword(3) | chaos oscillator |
Keyword(4) | Neural netowrk |
Keyword(5) | Voronoi diagram. |
1st Author's Name | Masayuki KASHIMA |
1st Author's Affiliation | Faculty of Engineering, KAGOSHIMA University() |
2nd Author's Name | Kiminori SATO |
2nd Author's Affiliation | Faculty of Engineering, KAGOSHIMA University |
3rd Author's Name | Yukutoshi TAKAHASHI |
3rd Author's Affiliation | Faculty of Engineering, KAGOSHIMA University |
Date | 1999/11/26 |
Paper # | NC99-60 |
Volume (vol) | vol.99 |
Number (no) | 473 |
Page | pp.pp.- |
#Pages | 6 |
Date of Issue |