论文信息 - Research on the Non-Linear Function Fitting of RBF Neural Network

Research on the Non-Linear Function Fitting of RBF Neural Network

By the simulation instance, this paper carries out a comparative research of the function approximation ability of BP network and RBF network, and analyzes the fitting accuracy and time efficiency of these two artificial neural networks when they are used to accomplish nonlinear function fitting under the specified parameters. The results show that the function approximation ability of BP network is superior to BR network in many ways.

Liu Jin-Yue | Zhu Bao-Ling

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