基于心理生理适应的热舒适投票预测
Prediction of thermal comfort voting based on psychology-physiological adaptation
摘要：
以不同热经历背景的南北方受试者为研究对象，进行了心理（主观感受）生理适应性实验。在实验数据的基础上，量化分析了心理生理适应对热舒适投票的影响。采用相关分析法和主成分分析法提取主观感受输入变量和皮肤温度输入变量，建立了可适应冷环境和可适应热环境的人工神经网络模型。用实验获得的数据训练该模型，结果表明，可适应冷环境和可适应热环境的预测准确率分别为65%和61%。
Abstract：
Selecting the northern and southern people with the different thermal experience as the research objects, carries out the experimental research of the psychology (subjective feelings)-physiological thermal adaptation. Based on the experimental data, quantitatively analyses the impact of psychology-physiological adaptation on thermal comfort voting. Uses the correlation analysis and principal component analysis to extract the input variables of subjective feelings and skin temperature. Establishes the artificial neural network model for adaptable cold environment and adaptable hot environment, and it is trained with the experimentally obtained data. The results show that the prediction accuracy is 65% in adaptable cold environment and 61% in adaptable hot environment.
Keywords:psychology-physiologicalthermaladaptation,thermalcomfortvoting,prediction,artificialneuralnetwork,correlationanalysis,principalcomponentanalysis