摘要
考虑影响混凝土强度的主要因素,基于遗传算法与支持向量机回归原理,建立高强混凝土强度预测的支持向量机模型.该模型利用遗传算法来搜索最佳向量机及核函数参数,以实测混凝土强度数据为样本进行训练,并对测试样本进行预测.结果表明,遗传支持向量机方法泛化能力强,预测精度高,是大型粮仓建筑高强混凝土强度预测的一种有效方法.
Considering the main factors influencing concrete strength,a support vector machine model for predicting strength of high-strength concrete based on genetic algorithm and support vector machine regression principle was constnucted. The model searched the optimum vector machine and kernel function parameters by genetic algorithn, was trained by using the real concrete strength data as samples, and was used for predicting a tested sample. The results showed that the genetic support vector machine method had high generalization ability and high prediction precision,and was effective in strength prediction of the high-strength concrete for constructing large granary.
出处
《河南工业大学学报（自然科学版）》
CAS
北大核心
2014年第3期88-91,104,共5页
Journal of Henan University of Technology：Natural Science Edition
关键词
高强混凝土
支持向量机
遗传算法
混凝土强度
high-strength concrete
support vector machine
genetic algorithm
strength
