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- W2360509279 abstract "As many factors affect the current efficiency of Aluminum electrolysis process and are 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." @default.
- W2360509279 created "2016-06-24" @default.
- W2360509279 creator A5037269331 @default.
- W2360509279 date "2015-01-01" @default.
- W2360509279 modified "2023-09-23" @default.
- W2360509279 title "Best Match of Influence Factors of Aluminum Electrolytic Current Efficiency Based on Data Fusion" @default.
- W2360509279 hasPublicationYear "2015" @default.
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