摘要
借助支持向量机算法在解决小样本、过学习、非线性等方面的优势,构建了基于支持向量回归的主蒸汽流量测量模型。利用该模型对某300 MW机组主蒸汽流量进行了计算,结果表明,基于支持向量回归的模型具有较高的准确性和较强的泛化能力,为实际生产过程中主蒸汽流量的测量提供了一种新的方法。
The main steam flow measurement model was constructed based on support vector regression which is advantageous in settling small-sample, nonlinear, and over-fitting problems. The main steam flow of a certain power plant was calculated by the model and the result indicates that the model based on support vector regression is superior in precision and generalization ability.
出处
《华东电力》
北大核心
2008年第12期89-92,共4页
East China Electric Power
关键词
火电厂
主蒸汽流量
支持向量机
回归
thermal power plant
main steam flow
support vector machine
regression
