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Alternative TitleBest Match of Influence Factors of Aluminum Electrolytic Current Eficiency Based on Data Fusion
孔磊; 王卓
Source Publication计算机仿真
Volume32Issue:5Pages:360-363, 415
Indexed ByCSCD
Contribution Rank1
Funding Organization国家863项目(2013AA040705) ; 中国科学院重点部署项目(KGZD-EW-302)
Keyword电流效率 最佳匹配 数据融合 模糊聚类 支持度权重分配
Other Abstractmany factors affect the current efficiency of Aluminum electrolysis process and ale mutually coupled, it needs to determine the best match between the factors to guide cell operation and ensure its high current efficiency.To solve the problem mentioned above, an improved support—degree based weight distribution data fusion method was proposed.First of all, the improved fuzzy C-means clustering algorithm with sub—clustering was used for clustering.Then, the weight of each factor of Clustering centers was determined according to the result of clustering, and the improved support-degree based weight distribution data fusion algorithm was applied to fuse the clustering centers, thereby the best match of influence factors was achieved.Finally, compared with traditional methods, this new method is more practical and reasonable, and Can guide more effectively the operation of the cell to improve the current efficiency.
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Document Type期刊论文
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GB/T 7714
孔磊,王卓. 基于数据融合的铝电解电流效率因素最佳匹配[J]. 计算机仿真,2015,32(5):360-363, 415.
APA 孔磊,&王卓.(2015).基于数据融合的铝电解电流效率因素最佳匹配.计算机仿真,32(5),360-363, 415.
MLA 孔磊,et al."基于数据融合的铝电解电流效率因素最佳匹配".计算机仿真 32.5(2015):360-363, 415.
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