Fuzzy Neural Network Modeling for Dam Deformation Prediction
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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.
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