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Journal of ShangHai University of Electric Power :2015,31(6):585-588,596
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改进的Kmeans算法在电厂煤质分析中的应用
(1.上海电力学院经济与管理学院;2.镇江谏壁电厂能源部)
Application of Improved K-means Algorithm in the Analysis of Coal Quality in Power Plant
(1.School of Economics and Management, Shanghai University of Electric Power, Shanghai 200090, China;2.Department of Energy, Zhenjiang Jianbi Power Plant, Zhenjiang 212006, China)
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Received:April 20, 2015    
中文摘要: 针对传统K-means算法聚类结果受初始值影响、迭代次数多和易出现局部最优解的弊端,研究改变初始值的选择,并采用三角形三边关系定律减少迭代次数对算法作进一步改善.通过数据对比了传统算法与改进算法,结果表明改进算法有较高的准确率.最后,通过实例为电厂的煤种选择提供了参考.
Abstract:In view of the fact that the traditional K-means algorithm for clustering results are affected by the initial value, the number of iterations and the more likely defect of local optimal solution, a study is conducted on the initial value selection and the triangle trilateral relations law is adopted to reduce the number of iterations of the algorithm for further improvement. Through comparison of the traditional algorithm and the improved algorithm, the results show that the improved algorithm has higher accuracy. Finally, an economic choice support in power plant coal is examplified.
文章编号:20150618     中图分类号:    文献标志码:
基金项目:国家自然科学基金(71271065).
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