大坝变形预报的模糊神经网络模型
Fuzzy Neural Network Modeling for Dam Deformation Prediction
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摘要: 在介绍模糊推理神经网络FNNLM训练算法及网络参数的确定方法的基础上,以东江大坝12个测点的水平位移预报为例,说明了模糊神经网络模型具有训练时间短、预报精度高的优势。Abstract: On the basis of the analysis of characteristics of Fuzzy logic and neural network, the possibility and inevitability of the combination between them are introduced. It gives the FNN-LM algorithm and the method to determine the network parameter. Relative to other models, the superiority of FNN deformation prediction model is showed by the historical displacement prediction models of twelve points of Dongjiang dam for their short training time and high prediction precision.