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| 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. |
| 关键词: 支持向量机算法,钛矿渣,胶凝材料,组成 |
| DOI： |
| 分类号:TQ172.717 |
| 基金项目:科技部社会公益基金资助项目(2000DIB10060) |
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| Optimization of Compositions of Ground Ti-Bearing Slag Cementing Material by Support Vector Machine(SVM) |
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AO Jin-qing PENG Yi QUAN Hong JIN Sheng-li YANG Su-bo
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| Abstract: |
| 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. |
| Key words: support vector machine,ground Ti-bearing slag,cementing material,composition |
