Three-Output Cellular Neural Network and Its Application to Diagnosing Liver Diseases

摘要

It is well known that cellular neural network (CNN) is very effective as an associative memory medium. And the saturation (output) function plays an important role in CNN, because it affects the operation, the stable equilibrium points and the performance of CNN. However, to the best of our knowledge a systematic design procedure for the output function is not available in the literature. In this paper, we present a simple, yet, effective design method for the three-output cellular neural network (TCNN).