| 遗传投影寻踪评价方法的算法实现及其在粉煤灰分类中的应用研究 |
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| 引用本文： | 方崇.遗传投影寻踪评价方法的算法实现及其在粉煤灰分类中的应用研究[J].粉煤灰,2009,21(6):7-10. |
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| 作者姓名： | 方崇 |
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| 作者单位： | 广西水利电力职业技术学院,南宁,530023 |
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| 基金项目： | 广西教育厅2008年度广西高校优秀人才资助计划项目 |
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| 摘 要： | 针对目前粉煤灰分类研究存在的片面性，在分析影响粉煤灰品质有关的化学成分和物理性质的基础上．选择细度、玻璃体、烧失量、K2O、SO3和CaO作为投影寻踪聚类分析的特征指标，以活性特征为目标，建立了投影寻踪聚类分析模型，编制了基于MATLAB的相应程序，采用遗传算法寻求最优投影方向，根据投影特征指标值对粉煤灰进行分类。研究表明该模型克服了以往传统分类法的不足，能较全面地反映粉煤灰产品品质性能。
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| 关 键 词： | 粉煤灰 混凝土 投影寻踪回归 蚁群算法 聚类分析 |
Research on Realization of Calculation of Projection Pursuit Method and Its Application in Classification of Fly Ash |
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| Fang Cong.Research on Realization of Calculation of Projection Pursuit Method and Its Application in Classification of Fly Ash[J].Coal Ash China,2009,21(6):7-10. |
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| Authors: | Fang Cong |
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| Abstract: | Aimed at one-sidedness existed in classification of fly ash at present, the chemical compositions and physical properties influencing the quality of fly ash was analyzed. Degree of fines￡-vitric￡-loss on ignition, K20, SO3 and CaO chosen as the criterion indices for classification of fly ash, the pozzolanic activity of fly ash are considered. A classification method of projection pursuit was established￡-related program based MATLAB was written. Its projection direction was optimized by using Genetic Algorithm. |
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| Keywords: | fly ash concrete projection pursuit regression Ant colony algorithm Cluster analysis |
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