Research on Adaptive Dynamic Fuzzy Neural Network Algorithms with Gauss Activation Function and Eigenvalue Decomposition Pruning Technologies

A new algorithm,which uses D-FNN Gauss function as a network activation function and fuzzy membership function,is proposed.The algorithm obtains strong global mapping generalization ability and effectiveness in local refinement,and adopts eigenvalue decomposition pruning technology to enables more compact D-FNN structure to avoid the phenomenon of over fitting.Finally,the algorithm is confirmed through the Hermite polynomial approximation to approach ability of validity.The simulation results show that the eigenvalue decomposition of pruning techniques and Gauss activation function of D-FNN has good performance.