| 径流长期预报的支持向量机方法 |
| |
| 引用本文： | 卓苏霜,苏国韶,袁钦承.径流长期预报的支持向量机方法[J].企业科技与发展,2009(9):88-89,92. |
| |
| 作者姓名： | 卓苏霜 苏国韶 袁钦承 |
| |
| 作者单位： | [1]广西先锋建设工程有限公司,广西南宁530000 [2]广西大学土木建筑工程学院,广西南宁530004 [3]南宁宏基水泥制品有限责任公司,广西南宁530031 |
| |
| 摘 要： | 支持向量机是近年来提出的一种新的机器学习算法,在解决小样本、非线性及高维模式识别问题中具有独特的优势。针对径流形成过程的不确定性和复杂性,提出了基于支持向量机分类模型的径流长期预报方法。相关研究表明,该方法是可行的,具有预测精度高和良好的可靠性等优点。
|
| 关 键 词： | 径流 预测 支持向量机 分类 |
Long-term Forecast Method for Runoff Based on SVM |
| |
| Institution: | ZHUO Su-shuang, SU Guo-shao, YUAN Qin-cheng (1. Guangxi Xianfeng Construction Engineering Co., Ltd., Nanning Guangxi 530000; 2. School of Civil Engineering and Architecture of Guangxi University, Nanning Guangxi 530004; 3. Nanning Hongji Cement Product Co., Ltd., Nanning Guangxi 530031 ) |
| |
| Abstract: | Support vector machines （SVM）, a new learning machinery, is advantageous in dealing with small sample, non- linear and high dimensional mode recognition. As the formation process of runoff is uncertain and complicated, long-term forecast method for runoff based on SVM comes into being. Related studies show that this method is feasible with high degree of accuracy and reliability. |
| |
| Keywords: | runoff forecast support vector machines classifies |
| 本文献已被 维普 等数据库收录！ |
|
