期刊名称：IOP Conference Series: Earth and Environmental Science
印刷版ISSN：1755-1307
电子版ISSN：1755-1315
出版年度：2019
卷号：242
期号：6
页码：1-10
DOI：10.1088/1755-1315/242/6/062019
出版社：IOP Publishing
摘要：The influence factors of concrete carbonation depth are numerous and complex, and carbonation reaction has strong dependence on time. The accuracy of existing concrete carbonation depth prediction methods is not accurate enough, because all factors can not be taken into account. The BP-AR fusion algorithm is proposed. In this algorithm, the BP neural network is used to predict the carbonation depth, and then the prediction value is further corrected by time series method. It has been experimentally verified that by using the time series method, the regularity of carbonation reaction with time can be found through the carbonation depth value predicted by BP neural network. The BP-AR algorithm predicts the carbonation depth more accurately than BP neural network, and makes up for the large prediction errors caused by limited data volume.
