摘要
支持向量机是基于统计学习理论框架下的一种新的通用机器学习方法.文中提出了基于支持向量机的混凝土强度预测方法,并在MATLAB中编制了相应的支持向量机程序,建立了相应的混凝土强度预测模型.以实例数据为学习样本和测试样本讨论了基于支持向量机的混凝土强度预测方法及可行性.研究表明支持向量机可以较好地表达混凝土强度与其影响因素之间的非线性映射关系.用支持向量机来预测混凝土强度是可行的,它为预测混凝土强度提供了一种新的方法.
SVM is a new machine learning method based on the statistical learning theory.This paper proposed forecasting methods of concrete strength based on SVM,and the corresponding SVM program and concrete strength prediction model has been established by MATLAB.The instance data for learning samples and test samples were used to discuss forecasting methods of concrete strength and feasibility based on SVM.The results indicate that it is able to express the nonlinear mapping relation between the strength of concrete and its influence factors better.Using SVM to predict the strength of concrete is feasible.It will provide a new method to predict concrete strength.
出处
《南华大学学报（自然科学版）》
2011年第1期18-22,共5页
Journal of University of South China：Science and Technology
关键词
混凝土强度
支持向量机
预测
参数分析
concrete strength
support vector machine（SVM）
prediction
parameter analysis
