摘要
通过建立BP网络模型对钢筋的锈蚀量进行计算和预测 ,并与目前常用的鉴别和检测方法相比较 ,结果表明建立BP网络是一种可以定量分析、简便易行的预测方法 .
The corrosive degree can be evaluated and forecasted by the model of BP neural network, and the results are compared with the methods usually used in our country. The conclusion is made that setting BP neural network is a convenient forecasting method which can be used to analyze in number.
出处
《华中理工大学学报》
CSCD
北大核心
2000年第12期93-95,共3页
Journal of Huazhong University of Science and Technology
