The End Point Forecast of Carbon Value Based on Wavelet Neural Network

摘要：

Carbon value online measurement is one of the most important tasks of the AOD furnace ferroalloy production process. Being the smelting process is complex in this paper promote the wavelet neural network algorithm in order to predict the endpoint of carbon value and using online data to training the wavelet neural network. The simulation results showed that the prediction relative error between the prediction and the practical value is within ± 5％ and the convergence rate of the learning algorithm is fast

关键词： Carbon Value Furnace Gas Analysis Wavelet Neural Network Forecast Model

作者: Dongmei Wang Wen You Dongmei Wang

作者单位: Institute of Electrical and Electronic Engineering Changchun University of Technology Changchun, Chi School of Communication Engineering Jilin University 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: 225-227

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）