Climate Model by SVM Based on Ezperienced Knowledge in Tobacco Region Division

摘要：

Tobacco region division is vital to improve the quality of the tobacco. And the climate model is the most important factor for the division. However, the climate variable, which was strongly corrupted by noises or fluctuations, can not be reconstructed by common method. In order to improve the performance of regression, the experienced knowledge about climate variable is incorporated in the training of SVM. The experimental results demonstrate the effectiveness and efficiency of our approach.

关键词： Climate Model SVM Ezperienced Knowledge Tobacco Region Division

作者: Wang Deji Xu Bo Li Guangcai Chen Guoqun Sui Bingyu

作者单位: Training Centre of National Tobacco Monopoly Bureau, Zhengzhou city, 450008, China PetroChina Pipeli PetroChina Pipeline Research and Development Center, Langfang city 065000, China Training Centre of National Tobacco Monopoly Bureau, Zhengzhou city, 450008, China Institute of Intelligent Machines, Chinese Academy of Science, Hefei 230031, China

会议类型: 国际会议

会议名称: 2009年中国控制与决策会议(2009 Chinese Control and Decision Conference)

会议地点: 广西桂林

会议语种:英文

页码: 3281-3284

在线出版日期: 2009-06-17（万方平台首次上网日期，不代表论文的发表时间）