混凝土氯离子扩散系数的RBF神经网络预测模型

提出了一种基于RBF神经网络的氯离子扩散系数预测模型，将RBF网络模型预测的结果与另外三种不同输入的RBF模型、BP网络模型的预测结果以及实测结果进行了对比分析，结果表明，RBF神经网络模型相对其他输入指标体系模型的预测精度有所提高，且能满足工程的需要，可以作为氯离子扩散系数预测的一种新的有效的方法。

On RBF neural network forecasting model of concrete chloride diffusion coefficient

The paper points out the forecasting model of concrete chloride diffusion coefficient based on RBF neural network,compares and analyzes the forecasting results of RBF network model with other three different input forecasting results from RBF model and BP network model and the observing results,and proves the forecasting accuracy of RBF neural network model is superior to other input coefficient system models,can meet the demand of the projects and it can be a new and effective method for chloride diffusion...