摘要
采用回归分析法中的曲线拟合法和BP神经网络模型的数值处理方法,对比两种方法在预测地表沉降中的有效性和准确性,对提高信息预测的精度和准确度有着积极的作用。
Validity and accuracy of two kinds of models is compared for forecasting sur- face subsidence based on regression analysis method and BP neural network of numerical treatment methods,and the two models have the positive significance for increasing the preci sion of the information forecast.
出处
《全球定位系统》
2012年第1期92-94,共3页
Gnss World of China
关键词
回归分析法
BP神经网络
地表沉降
预测
Regression analysis method
BP neural network
surface subsidence
forecast
