Cellular neural network with dynamic template and its output characteristics
Masakazu Kawahara, Takashi Inoue, Yoshifumi Nishio · 2009
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.