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

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.