Title :
CNN template design using back propagation algorithm
Author :
Nakagawa, M. ; Inoue, T. ; Nishio, Y.
Author_Institution :
Dept. of Electr. & Electron. Eng., Tokushima Univ., Tokushima, Japan
Abstract :
In this article, detailed investigation of the template design method of cellular neural networks with back propagation algorithm, which was proposed by the authors before, is carried out. The performance of the method is also evaluated by using the average error which corresponds to the difference between the output produced by the designed template and the ideal output. Furthermore, the method is applied for gray scale image applications.
Keywords :
backpropagation; cellular neural nets; software engineering; CNN template design; backpropagation algorithm; cellular neural network; gray scale image application; template design method; Algorithm design and analysis; Animal structures; Cellular networks; Cellular neural networks; Circuit simulation; Design engineering; Design methodology; Learning systems; Neural networks; Nonlinear equations;
Conference_Titel :
Cellular Nanoscale Networks and Their Applications (CNNA), 2010 12th International Workshop on
Conference_Location :
Berkeley, CA
Print_ISBN :
978-1-4244-6679-5
DOI :
10.1109/CNNA.2010.5430327
