Voronoi division using Chaos Neural Networks

• KASHIMA Masayuki

  Faculty of Engineering, KAGOSHIMA University

• SATO Kiminori

  Faculty of Engineering, KAGOSHIMA University

• TAKAHASHI Yukutoshi

  Faculty of Engineering, KAGOSHIMA University

Bibliographic Information

Other Title

• カオス・ニューラル・ネットワークによるボロノイ分割

Abstract

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.

Journal

• IEICE technical report. Neurocomputing

  IEICE technical report. Neurocomputing 99 (473), 47-52, 1999-11-26

  The Institute of Electronics, Information and Communication Engineers

Keywords

• Complex system
• Coupled map
• chaos oscillator
• Neural netowrk
• Voronoi diagram

Details

• CRID: 1570854177493165824
• NII Article ID: 110003234380
• NII Book ID: AN10091178
• Text Lang: ja
• Data Source:
  • CiNii Articles