RBF neural network prediction method of deformation monitoring data

Guo-hui Wang, Ma Li, Hai-tao Chen
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引用次数: 1

Abstract

In order to improve the precision and reliability of prediction of deformation monitoring data, radial basis function artificial neural network is used in deformation monitoring data processing. The prediction result of this method is compared with the prediction result of BP neural network prediction methods, and it is concluded that through the radial basis function artificial neural network better prediction result can be obtained.
变形监测数据的RBF神经网络预测方法
为了提高变形监测数据预测的精度和可靠性,将径向基函数人工神经网络应用于变形监测数据处理。将该方法的预测结果与BP神经网络预测方法的预测结果进行了比较,得出通过径向基函数人工神经网络可以获得更好的预测结果。
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