APPLICATION OF BP NEURAL NETWORK BASED ON PRINCIPAL COMPONENT ANALYSIS IN DEFORMATION FORECASTING
基于主成分分析的BP神经网络在形变预测中的应用

In order to improve deformation forecasting precision,application of principal component analysis and improved BP neural network in deformation monitoring is proposed.For the verification if the new method can enhance the precision and reliability of forecasted data,the proposed algorithm is programmed and verified by use of measured data.The results show that compared with other methods,the improved BP neural network based on principal component analysis can achieve better foresting results.