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基于支持向量机的超早强混凝土抗压强度预测研究

丘伟兴 杨飞 林逸洲 徐家兴 黄国文 郑帮熊

路基工程Issue(6):15-19,5.
路基工程Issue(6):15-19,5.DOI:10.13379/j.issn.1003-8825.2017.06.04

基于支持向量机的超早强混凝土抗压强度预测研究

Study of Compression Strength Prediction of Ultra High-early-strength Concrete by Support Vector Machine

丘伟兴 1杨飞 1林逸洲 2徐家兴 2黄国文 1郑帮熊3

作者信息

  • 1. 广东工业大学土木与交通工程学院,广州510006
  • 2. 暨南大学重大工程灾害与控制教育部重点实验室,广州510632
  • 3. 中山市公路局,广东中山528403
  • 折叠

摘要

Abstract

In recent years,the criterion of ultra high-early-strength concrete in project is increasingly stricter,not only the time requirement of reaching certain strength,but also requirements of maximum economic effectiveness.However,the predicting process would be complicated because of the various factors which can have impact on its strength.In this paper,SVM (support vector machine) will be used to build a numerical model that can predict its strength via comparing different kernel functions and parameters,and the most optimized kernel function can be obtained.In conclusion,numerical models with linear kernel function and RBF kernel function can lead to reasonable results,and the one with RBF kernel function is the best.

关键词

支持向量机/超早强混凝土/抗压强度预测/核函数

Key words

SVM (support vector machine)/ultra high-early-strength concrete/compression strength prediction/kernel function

分类

建筑与水利

引用本文复制引用

丘伟兴,杨飞,林逸洲,徐家兴,黄国文,郑帮熊..基于支持向量机的超早强混凝土抗压强度预测研究[J].路基工程,2017,(6):15-19,5.

基金项目

广东省自然科学基金——博士启动(2016A030310346) (2016A030310346)

广东省交通厅科技项目(科技—2017-02-034) (科技—2017-02-034)

中国博士后科学基金(160885) (160885)

路基工程

1003-8825

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