The prediction of AOD furnaces end point carbon content based on wavelet neural network

摘要：

AOD furnace smelting low-carbon ferrochrome for the actual situation of the affected end AOD stove carbon content factor, the wavelet neural network prediction model of carbon content in the end, the actual production data using 200-stove model is trained,and the other furnace carbon content of 12 to predict the results ,wavelet neural network based on end point carbon content prediction model has high accuracy,showing that its in metallurgy with the significant advantages and great potential.

关键词： wavelet neural network prediction of end point AOD furnace

作者: Hui Li Ran Duan Dejiang Zhang

作者单位: The College of Electrical and Electronic Engineering Changchun University of Technology Changchun,China

会议类型: 国际会议

会议名称: 2010 International Conference on Computer,Mechatronics,Control and Electronic Engineering(2010计算机、机电、控制与电子工程国际会议 CMCE 2010)

会议地点: 长春

会议语种:英文

页码: 371-373

在线出版日期: 2010-08-24（万方平台首次上网日期，不代表论文的发表时间）