摘要
针对锅炉蒸汽产量预测的非线性和灰色性,提出将实时灰色最小二乘支持向量机模型应用于蒸汽预测,预测结果与实时GM(1,1)模型的预测结果进行对比,证明该模型具有更高的预测精度,可为蒸汽生产和调度提供决策依据。
For the nonlinear and gray properties of boiler steam production forecast, a model of real-time gray squares support vector machine used in steam forecast is proposed. In contrast to actual model GM （ 1,1 ） predictions, this model proves with higher prediction accuracy, and may be for steam production and scheduling to provide the basis for decision making.
出处
《科学技术与工程》
北大核心
2012年第24期6158-6162,共5页
Science Technology and Engineering
基金
云南省教育厅科学研究基金(2010Y389)资助
关键词
灰色系统
残差
最小二乘支持向量机
蒸汽预测
gray system residuals least squares support vector machines steam forecast
