摘要
对沈阳市冬季商场室内热环境状况进行了实地调查,建立了基于自适应性模糊神经网络的人体热舒适模糊评判模型,对采集到的数据进行了模糊推理和网络训练,总结出了关于人体热舒适的模糊推理规则。由仿真结果可知,模糊评判模型输出值与热感觉投票值吻合较好,为客观评价和预测人体热舒适提供了一种方法和思路。
Surveys the thermal environment in emporiums, and establishes the fuzzy judging model of thermal comfort based on the adaptive neuro-fuzzy inference system （ANFIS）. Summarizes some fuzzy inference rules by network training and checking. The results indicate that the output result of ANFIS is consistent with the thermal comfort vote of occupants, and it provides a method for the thermal comfort evaluation and prediction.
出处
《暖通空调》
北大核心
2006年第5期116-118,共3页
Heating Ventilating & Air Conditioning
关键词
热舒适
隶属函数
自适应性模糊神经网络
thermal comfort, membership function, adaptive neuro-fuzzy inference system
