Pseudo Almost Automorphic Solution And Weighted Pseudo Almost Automorphic Solutions Of Two Kinds Of Neural Network Models

In this paper,a neural network model of neutral multi-proportional delay is present--ed,and a neural network model of neutral shunt suppression is presented.In this paper,we use the fixed point theorem,the exponential dichotomy and the inequality given in the text.Finally,we obtain the uniqueness of the solution and prove it by Lyapunov function The sufficient conditions for the global exponential stability of the solution are given.Finally,a numerical example is given to illustrate the rationality of the paper.In chapter 2,we study the differential equations with multi-proportional delay pseudo almost automorphic solutions and global exponential stability.The third chapter mainly considers the differential equation of the shunt suppression umodel global exponential stability of weighted pseudo almost automorphic solutions.These two kinds of neural network models are studied by means of transformation and using the method of inequality and integral analysis.After rigorous proof,we find the sufficient conditions for these two kinds of equations to have pseudo-almost automorphic and weighted pseudo-almost automorphic the rationality of the results...