Research on thermal comfort model of hot summer and cold winter zone based on RBF neural network

摘要：

In order to establish the human thermal comfort model, factors are acquired by data acquisition and survey. Using RBF neural network, the human thermal comfort model in hot summer and cold winter zone is established. Moreover, expanding the experimental scope to validate the model, the experimental results have proved that the evaluation of the model is more accurate and effective.

关键词： RBF neural network hot summer and cold winter zone thermal comfort model

作者: Yalong Yang Qiansheng Fang Xiaolong Wang Zhenya Zhang Qinyan Yu

作者单位: Anhui University of Architecture, Anhui Key Laboratory of Intelligent Building, Hefei, 230022,China

会议类型: 国际会议

会议名称: 2011 International Conference on Computer Science and Network Technology(2011计算机科学与网络技术国际会议 ICCSNT 2011)

会议地点: 哈尔滨

会议语种:英文

页码: 2052-2055

在线出版日期: 2011-12-24（万方平台首次上网日期，不代表论文的发表时间）