N-Scroll Generation in SC-CNN via NeuroFuzzy Based Nonlinear Function

A new way of generating n-scroll chaotic attractors is presented. A neurofuzzy controller is used to obtain the piecewise-linear function of the state controlled cellular neural network system. It can be seen from the computer simulations that the proposed model can be able to produce double-scroll to 5-scroll attractors