Abstract:This paper presents a model identification approach of nonlinear-systems. Through structure identification (learning) and parameter identification (learning), a fuzzy neural network is constructed. Having adjusted the weights of the fuzzy neural network, a precise fuzzy model is obtained. Finally, the effectiveness of the proposed technique is confirmed by the simulation results of two nonlinear systems.
李映; 白本督; 焦李成. 一种基于模糊神经网络的非线性系统模型辨识方法[J]. 电子与信息学报, 2002, 24(3): 355-360 .
Li Ying①; Bai Bendu②; Jiao Licheng①. A model identification approach of nonlinear-systems based on fuzzy neural networks. , 2002, 24(3): 355-360 .