摘要
以生产实际作应用背景，依据多相模糊统计识别方法，建立了灰分论域下的“低灰分煤”、“高灰分煤”、“矸石”三相模糊隶属函数，并提出了一种实用的模型调整算法．应用表明，该方法分选率达到９０ ％ ，能够满足生产要求．
According to the multiphase fuzzy statistical method, and with purpose of practical application, three phase fuzzy membership function for low ash coal, high ash coal and gangue respectively in ash domain have been developed, and a practical model adjusting algorithm is proposed. Experimental results show that the sorting index can reach to as high as 90% with the method proposed, which well meets the practical requirements.
出处
《华中理工大学学报》
CSCD
北大核心
1999年第12期30-32,共3页
Journal of Huazhong University of Science and Technology
关键词
模糊识别
选煤
双能γ射线
矸石
煤
模糊统计
fuzzy identification
coal separation
dual intensity γ ray, gangue
