An Useful System based Data Mining of the Ore Mixing in Sintering Process

摘要：

the article introduced the system of ore mixing of sintering based on data mining and neuron network. Appling the method of cluster to the saved history data of the sintering process to classify the history data into three categories. And then, established neuron network model of each cluster. Every new sample should be put into the Corresponding cluster first by the distance of Eucliden, and then we can predict the quality index of the new sample by the neuron network model. The method is more effective and accurate, and it can extend to other production of the enterprise.

关键词： Data mining cluster neuron network ore-mixing

作者: Tang Ruiyin He hongkun

作者单位: The College of Electrical Engineering of Hebei United University, 46 Xinhua Road, Tangshan, Hebei, 063009,China

会议类型: 国际会议

会议名称: The 24th Chinese Control and Decision Conference (第24届中国控制与决策学术年会 2012 CCDC)

会议地点: 太原

会议语种:英文

页码: 174-177

在线出版日期: 2012-05-23（万方平台首次上网日期，不代表论文的发表时间）