ONE SUPPORT VECTOR MACHINE METHOD’S APPLICATION IN PREDICTION OF DRUM-WATER LEVEL

摘要：

Water-level Measurement system for boiler is one of the key measuring systems in power plant. And it is important to measure and predict the drum water level. As drum water level of boiler is a time-delay, time-varying and nonlinearity system, a new mathematical model according to the support vector machines (SVM) theory was brought out, which was based on the statistical learning theory (SLT) and the empirical risk minimization (ERM) principle. The experimental results indicate that this model has better generalization performance, which is proved to be effective in prediction of drum water level of boiler.

关键词： support vector machine drum boiler water level predict

作者: Zuo Ping-ping Qi Dong-lian

作者单位: Department of Electrical Engineering,Zhejiang University,Hangzhou,Zhejiang Province,310027,China

会议类型: 国际会议

会议名称: 2008年拟人系统国际会议(2008 International Conference on Humanized Systems )(ICHS’08)

会议地点: 北京

会议语种:英文

在线出版日期: 2008-10-18（万方平台首次上网日期，不代表论文的发表时间）