The article developed artificial neural network models to predict indoor thermal comfort based on thermal sensations and occupants' behavior. The models were trained using data from offices and houses/apartments. The models accurately predicted acceptable air temperature ranges for both settings. In offices, the models predicted a narrower comfort zone than the standard, while in houses/apartments, the predicted comfort zone was wider. This study offers new ways to predict thermal comfort in indoor environments.