Support Vector Machine to Monitor Greenhouse Plant with Gaussian Loss Function

摘要：

In this paper, it applys Gaussian loss function instead of e-insensitive loss function in a standard SVRM to devise a new model and a new type of support vector classification machine whose optimization problem is easier to solve and has conducted effective test on open data set in order to apply the new algorithm to environment monitoring in greenhouse plants and the monitoring result is better than any other method available.

关键词： Support Vector Machine Gaussian Loss Function Greenhouse Plants Environment Monitoring

作者: Manfu Yan Qing Zhang Jianhang Zhang

作者单位: Department of Mathematics, Tangshan Teachers College, Tangshan Hebei 063000, China Faculty of Engineering, National University of Singapore, Singapore 119278

会议类型: 国际会议

会议名称: The 4th IFIP International on Computer and Computing Technologies in Agriculture and the 4th Symposium on Development of Rural Information(第四届国际计算机及计算机技术在农业中的应用研讨会暨第四届中国农业信息化发展论坛 CCTA 2010)

会议地点: 南昌

会议语种:英文

页码: 343-352

在线出版日期: 2010-10-22（万方平台首次上网日期，不代表论文的发表时间）