Vertical Beformation Prediction Method for Bridges Based on Grey System-BP Neural Network Model

摘要

For there are many problems such as large amount interference factors, the amount of data collected is small, and so on occur in monitoring and forecasting, use the model that combine grey system and neural network to forecast. That is predicting with single GM (1,1) model first, and then taking the prediction result of grey system as input sample value of BP neural network. Considering the measured values as objective sample value of network, neural network used to deformation forecast can be obtained through training. Prediction results show that this method can obtain a good forecasting result.