| 灰色最小二乘支持向量机在灌溉用水量预测中的应用 |
| |
| 引用本文： | 陈梓玄,李占斌,李鹏,王海军. 灰色最小二乘支持向量机在灌溉用水量预测中的应用[J]. 水资源与水工程学报, 2010, 21(1): 75-78 |
| |
| 作者姓名： | 陈梓玄 李占斌 李鹏 王海军 |
| |
| 作者单位： | 西安理工大学,西北水资源与环境生态教育部重点实验室,陕西,西安,710048 |
| |
| 基金项目： | 国家重点基础研究发展计划项目(2007CB407206); 国家科技支撑项目(2006BAD09B02) |
| |
| 摘 要： | 根据灰色理论(grey model,GM)所需原始数据少、建模简单、运算方便等优势,以及最小二乘支持向量机(least square support vector machine,LS-SVM)所具有的泛化能力强、运算速度快、非线形拟合精度高、参数优化好、小样本等优点,建立了灰色理论和最小二乘支持向量机组合预测模型,并将此模型应用于灌区用水量预测中。预测结果与实际结果吻合良好,验证了所提出组合方法的有效性和实用性,可以作为灌溉用水量预测的有效工具。
|
| 关 键 词： | 灰色理论 最小二乘支持向量机 用水量预测 |
Application of Grey LS-SVM to the Forecast of Irrigation Water |
| |
| CHEN Zi-xuan,LI Zhan-bin,LI Peng,WANG Hai-jun. Application of Grey LS-SVM to the Forecast of Irrigation Water[J]. Journal of water resources and water engineering, 2010, 21(1): 75-78 |
| |
| Authors: | CHEN Zi-xuan LI Zhan-bin LI Peng WANG Hai-jun |
| |
| Affiliation: | CHEN Zi-xuan,LI Zhan-bin,LI Peng,WANG Hai-jun (Key Lab of Northwest Water Resources , Environment Ecology of MOE,Xi'an University of Techndogy,Xi'an 710048,China,) |
| |
| Abstract: | According to the advantages of grey model(GM) such as less original data to be required,model to be simplely established and convenient to calculate and the features of least square support vector machine(LS-SVM) such as strong generalization ability,fast calculation speed,high nonlinear fitting precision,good parameters optimization ability and less samples,a combination forecasting model in which the GM is intelligently combined with the LS-SVM algorithm was proposed,and this model was applied to forecast... |
| |
| Keywords: | grey theory least square support vector machine water consumption forecasting |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
|
