Set-valued samples based support vector regression and its applications

作者：

Highlights：

• Initial representative points of set-valued data are selected via weighted distance.

• An algorithm determining the best representative points of set-valued data is designed.

• Set-valued samples based support vector regression (SSVR) is constructed.

• Efficiency of SSVR is demonstrated via experiments about real-world examples.

摘要

•Initial representative points of set-valued data are selected via weighted distance.•An algorithm determining the best representative points of set-valued data is designed.•Set-valued samples based support vector regression (SSVR) is constructed.•Efficiency of SSVR is demonstrated via experiments about real-world examples.

论文关键词：Support vector machine,Regression problems,Set-valued sample,Wind speed,Peak particle velocity,Prediction

论文评审过程：Available online 30 September 2014.

论文官网地址：https://doi.org/10.1016/j.eswa.2014.09.038