| 实时灰色最小二乘支持向量机模型在蒸汽预测中的应用 |
| |
| 引用本文： | 尹正文.实时灰色最小二乘支持向量机模型在蒸汽预测中的应用[J].科学技术与工程,2012,12(24):6158-6162. |
| |
| 作者姓名： | 尹正文 |
| |
| 作者单位： | 昆明理工大学 |
| |
| 基金项目： | 此项工作得到云南省教育厅科学研究基金资助，项目批准号：2010Y389 |
| |
| 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 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。
|
| 关 键 词： | 灰色系统 残差 最小二乘支持向量机 蒸汽预测 |
| 收稿时间： | 5/14/2012 2:03:12 PM |
| 修稿时间： | 5/14/2012 2:03:12 PM |
The Application of real-time gray least squares support vector machine model in the prediction of steam |
| |
| yin zheng wen.The Application of real-time gray least squares support vector machine model in the prediction of steam[J].Science Technology and Engineering,2012,12(24):6158-6162. |
| |
| Authors: | yin zheng wen |
| |
| Institution: | (Faculty of Science,Kunming University of Science and Technology,Kunming 650000,P.R.China) |
| |
| Abstract: | For the nonlinear and gray properties of boiler steam production forecast, this paper proposed a model of real-time gray squares support vector machine used in steam forecast. In contrast to actual model GM(1,1) predictions, this model has proved with higher prediction accuracy, and may be for steam production and scheduling to provide the basis for decision making. |
| |
| Keywords: | gray system residuals least squares support vector machines steam forecast |
| 本文献已被 CNKI 等数据库收录！ |
| 点击此处可从《科学技术与工程》浏览原始摘要信息 |
| 点击此处可从《科学技术与工程》下载免费的PDF全文 |
