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进行基于人工神经网络的大坝变形区间的分析与预报研究,运用Matlab工具箱建立BP神经网络模型,进行大坝变形区间的分析与预报,并与传统的逐步回归预报方法进行比较。结果表明,BP神经网络用于大坝变形区间的预报是可行的,在预报效果上优于逐步回归方法。
The analysis and prediction of the dam deformation interval based on artificial neural network are carried out. The BP neural network model is established by Matlab toolbox to analyze and forecast the dam deformation interval and compared with the traditional stepwise regression forecasting method. The results show that it is feasible to use BP neural network in prediction of dam deformation interval, and it is better than stepwise regression in forecasting effect.