Global exponential stability of fuzzy neural networks

In this paper, using a fixed-point theorem and reduction to absurdity, we have obtained a sufficient condition to guarantee that fuzzy neural network with flat fuzzy feedback Min templates and flat fuzzy feedback Max templates is globally exponentially stable. Since our model is more general and our assumptions relax the previous assumptions in some existing works, the results presented in this paper are the improvement and extension of the existed ones.