径向基网络在结构设计与分析中的应用

APPLICATION OF RBF NEURAL NETWORK TO STRUCTURAL DESIGN AND ANALYSIS

详细地介绍了径向基(RBF)神经网络的结构和基本原理。基于RBF神经网络能够逼近任意非线性函数的特点,提出了一种基于RBF神经网络建立结构分析模型的方法。与BP网络的仿真结果对比表明,所建立RBF神经网络模型收敛速度快,拟合精度高,适用于复杂结构的建模问题。

The structure and rational of RBF neural network are presented in detail. In view of the properties of RBF neural network, an approach based on RBF neural network to model the structural analysis is introduced. Compared with the simulation results of BP neural network, the model based on RBF neural network is proved available and can be suitable for modeling of a complicated structure.