Fuzzy Cellular Neural Network: a new paradigm for image processing
Tao Yang, Lin-Bao Yang · International Journal of Circuit Theory and Applications · 1997
A non-linear network structure called the fuzzy cellular neural network (FCNN) is presented. It is a reasonable extension of the cellular neural network (CNN) from classical to fuzzy sets. In this paper, structures of type II FCNNs are presented. A type II FCNN has fuzzy signals and crisp synaptic weights. Some theorems on the dynamical range and equilibrium points of type II FCNNs are presented. Applications of type II FCNNs to min-max medical axis transformation, noise removal and edge detection under a low-SNR condition are presented. Computer simulation results are given. © 1997 by John Wiley & Sons, Ltd.