Presentation 1999/11/26
Voronoi division using Chaos Neural Networks
Masayuki KASHIMA, Kiminori SATO, Yukutoshi TAKAHASHI,
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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.
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Keyword(in English) Complex system / Coupled map / chaos oscillator / Neural netowrk / Voronoi diagram.
Paper # NC99-60
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Committee NC
Conference Date 1999/11/26(1days)
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Registration To Neurocomputing (NC)
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