DocumentCode :
2712595
Title :
Cellular neural network with dynamic template and its output characteristics
Author :
Kawahara, Masakazu ; Inoue, Takashi ; Nishio, Yoshifumi
Author_Institution :
Dept. of Electr. & Electron. Eng., Tokushima Univ., Tokushima, Japan
fYear :
2009
fDate :
14-19 June 2009
Firstpage :
1552
Lastpage :
1558
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.
Keywords :
cellular neural nets; learning (artificial intelligence); cellular neural network; image processing; learning method; Animal structures; Biological neural networks; Cellular neural networks; Circuits; Computer simulation; Image processing; Learning systems; Neural networks; Neurons; Nonlinear equations;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Neural Networks, 2009. IJCNN 2009. International Joint Conference on
Conference_Location :
Atlanta, GA
ISSN :
1098-7576
Print_ISBN :
978-1-4244-3548-7
Electronic_ISBN :
1098-7576
Type :
conf
DOI :
10.1109/IJCNN.2009.5178954
Filename :
5178954
Link To Document :
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