TQ172.717
科技部社会公益基金资助项目(2000DIB10060)
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.
敖进清,彭毅,全红,金胜利,杨素波.支持向量机算法优化钛矿渣胶凝材料组成研究[J].建筑材料学报,2006,(4):393-398
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