CNN template design using back propagation algorithm

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.