摘要
基于神经元网络的混凝土碳化预测，可以同时考虑多种碳化方式以及尽可能多的影响因素，使混凝土碳化预测的众多方法得到了统一，预测既灵活又准确。
More influencing factors can be concerned at the are time and the methods of forecasting for concrete carbonizing with networks are unified in the ligh of the forecasting technology of concrete carbonization . The method of forecasting is both flexibility and accuracy.
出处
《工业建筑》
CSCD
北大核心
1999年第1期1-3,16,共4页
Industrial Construction
基金
煤炭基金!矿区混凝土结构碳化预测项目
关键词
神经元网络
混凝土碳
预测
nearal networks concrete carbonizing forecasting train recall
