摘要
通过建立神经网络模型对盐溶液侵蚀混凝土的强度进行了计算和预测。研究表明 ,该法不仅可以综合考虑各种因素的影响 ,而且具有较高的预测精度 。
The strength of seawater-corrosive concrete can be evaluated and forecasted by the model of neural network,The results show that this method not only can take various factors into consideration as a whole,but also has highforecasting accuracy.It will have broad prospect of application in forecasting concrete perfomance.
出处
《低温建筑技术》
2003年第5期33-34,共2页
Low Temperature Architecture Technology
关键词
神经网络
混凝土强度
预测
盐溶液侵蚀
Neural network
Concrete strength
Prediction
Seawater corrosion
