所属单位：信息与控制工程学院

发表刊物：Advanced Materials Reseach

关键字：中文关键字：PMV, 热舒适, PSO, SVM. PSO–SVR，英文关键字：PMV, Thermal Comfort, PSO, SVM. PSO–SVR

摘要：In this context, the paper is forecasting PMV index by four environmental variables and two personal variables. The first set of strategies is Using SVR to predict PMV and the second one is PSO-SVR that particle swarm optimization (PSO) is chosen as an optimization technique to optimize the SVR parameters setting. Simulation results are presented for two case studies to validate the proposed methodology in terms of both SVR and PSO-SVR.

备注：赵敏华

合写作者：闫婷

第一作者：赵敏华

论文类型：期刊论文

卷号：卷：

期号：期：912

页面范围：页：1313-1317

是否译文：否

发表时间：2014-05-01