Prediction of thermal comfort voting based on psychology-physiological adaptation

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.