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基于MATLAB的胶结充填材料线性回归研究 被引量:7

Research on Linear Regression of Binder Backfill Material Based on MATLAB
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摘要 影响胶结充填材料质量的因素有 :胶结剂及用量、骨料、料浆浓度、温度、细粒级和化学成分。填充体质量控制的目标是 :填充体具有一定强度、充填材料成本低、流动性好、不脱水或少量脱水。采用数理统计的方法 ,对胶结填充体质量控制目标与填充体质量影响因素之间的关系进行处理 ,实践表明 ,当实际数据量足够多时 ,可用线性回归的方法找出目标与影响因素之间的近似关系表达式。 There are six factors affecting of binder backfill material. They are binder dosage, aggregate, slurry density, temperature, fine particle and chemical component. The quality control aims to make backfill body meet its strength requirements and allow backfill material to have a low lost and a good fluidity and dehydrate a little or not. The relation between the quality control's aims and the factors affecting the backfill material's quality is processed using mathematical statistics. The practice shows that when the amount of practical data is large the approximate relational oxpression between the aims and the factors should we found out using linear regression method.
出处 《矿冶工程》 CAS CSCD 北大核心 2002年第3期11-12,16,共3页 Mining and Metallurgical Engineering
关键词 最小二乘法 胶结充填材料 线性回归 MATLAB 采矿 least square method binder backfill material linear regression MATLAB
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共引文献79

同被引文献42

  • 1林章锋,谢建兵.充填材料的优化选择试验[J].金属矿山,2009,38(S1):294-295. 被引量:7
  • 2刘志祥,李夕兵.尾砂级配的混沌优化[J].中南大学学报(自然科学版),2005,36(4):683-688. 被引量:15
  • 3王新民,徐东升.胶结充填料优化配比研究及强度预测[J].矿业快报,2006,22(12):20-23. 被引量:12
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