摘要
运用支持向量机算法对钛矿渣胶凝材料的组成进行优化.通过实验数据处理,建立了钛矿渣胶凝材料组成与28 d抗压强度关系的数学模型.研究结果表明,用支持向量机算法优化钛矿渣胶凝材料的组成是可行和有效的.
Support vector machine, a new computational method which can avoid over-fitting and has powerful prediction ability, has been used for establishing model of compositions and 28 d compressive strength of ground Ti-bearing slag cementing material. It implies that this new method of computation appears to be a useful tool for optimizing compositions of ground Ti-bearing slag cementing material.
出处
《建筑材料学报》
EI
CAS
CSCD
2006年第4期393-398,共6页
Journal of Building Materials
基金
科技部社会公益基金资助项目(2000DIB10060)
关键词
支持向量机算法
钛矿渣
胶凝材料
组成
support vector machine
ground Ti-bearing slag
cementing material
composition
