基于BP网络的砼碳化深度预测与分析

A Study on Carbonization Depth Forecast of Concrete Structures Based on BP Neural Networks

运用人工神经网络方法进行砼碳化深度的分析计算和预测 ,其结果优于现行以数学模型为基础的经验公式法 ,是一种可同时考虑多种碳化模式。

More influential factors can be considered at the same time and the method of forecast concrete carbonization with BP neural networks are unified in the light of the forecasting technology of concrete carbonization. The method of the forecast is both flexible and accurate, and it is much better than using the experiential calculation formula. An effective way is provided for predicting carbonization depth.