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A neural network evaluation model for individual thermal comfort
Authors:Weiwei Liu  Zhiwei LianBo Zhao
Affiliation:Institute of Refrigeration and Cryogenics, Shanghai Jiao Tong University, Shanghai 200240, China
Abstract:An evaluation model for individual thermal comfort is presented based on the BP neural network. The train data came from a thermal comfort survey. The evaluation results of the model showed a good match with the subject's real thermal sensation, which indicated that the model can be used to evaluate individual thermal comfort rightly. Taken a room air conditioner as an example, the application of the NNEM in creating a microenvironment for individual was discussed. The result showed that the NNEM can play an important role of connecting individual thermal comfort with the control on the air conditioner.
Keywords:BP, back propagation   CC, comfort chooser   NNC, neural network controller   NNCS, neural network control system   NNEM, neural network evaluation model   NNM, neural network model
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