Fast self-organizing learning algorithm based on EKF for fuzzy neural network
基于EKF的模糊神经网络快速自组织学习算法*

To construct an effective fuzzy neural network, this paper presented a self-organizing learning algorithm based on extended Kalman filter for fuzzy neural network. In the algorithm, the network grew rules according to the proposed growing criteria without pruning, speeding up the online learning process.All the free parameters were updated by the extended Kalman filter approach and the robustness of the network was obviously enhanced. The simulation results show that the proposed algorithm can achieve fast learning speed, high approximation precision and generation capability.