摘要
由于模糊聚类分析可以较好的完成目标分类,因此其近年来在许多行业都有重要的应用。本文将模糊聚类分析应用于煤炭消费量的预测中,通过已知年份中与煤炭消费量关系密切的数据,选取合适公式进行聚类,并利用F检验得到最佳阈值,通过检验证明利用该方法预测煤炭需求量是可行的,可以指导生产。
In recent years,fuzzy cluster analysis are applied in various industries,because the completion of target classification can be better.fuzzy cluster analysis are applied to the prediction of coal consumption in this paper,through the close with the coal consumption data in known years,select appropriate formula for clustering,and use F tests to be the optimal threshold value.Tests proved that using the method to forecast coal demand is feasible,and can guide the production.
出处
《煤炭技术》
CAS
北大核心
2010年第11期214-215,共2页
Coal Technology
基金
黑龙江省教育厅科研项目(11541324)
