Cellular neural network with dynamic template and its output characteristics

  • Authors:

  • Masakazu Kawahara;Takashi Inoue;Yoshifumi Nishio

  • Affiliations:

  • Department of Electrical and Electronic Engineering, Tokushima University, Tokushima, Japan;Department of Electrical and Electronic Engineering, Tokushima University, Tokushima, Japan;Department of Electrical and Electronic Engineering, Tokushima University, Tokushima, Japan

  • Venue:
  • IJCNN'09 Proceedings of the 2009 international joint conference on Neural Networks
  • Year:
  • 2009

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Abstract

In this research, we propose cellular neural network with dynamic template. In our proposed cellular neural network, the template of cell is changed at each update by learning. The learning method considering rank order learning is inspired from self-organizing map. Some computer simulations using the proposed cellular neural network with dynamic template are carried out and its output characteristic is investigated through simple image processing task.