Cellular Neural Networks with Multiple-Valued Output and Its Application (Special Sectlon on Nonlinear Theory and its Applications)

概要

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Various applications of cellu1ar neural net-work (CNN) are reported such as a feature extraction of the patterns, an extraction of the edges or corners of a figure, noise exclusion, searching in maze and so forth. In this paper, we propose a cellular neural network whose each cell has more than two output levels. By using the output function which has several saturated levels, each cell turns to have several output states. The multiple-valued CNN enhances its associative memory function so as to express various kinds of aspects. We report an application of the enhanced associative memory function to a diagnosis of the liver troubles.
社団法人電子情報通信学会の論文
1996-10-25