Mode selection for energy efficiency retrofit of existing residential buildings based on BP artificial neural network

According to the analysis on examples at home and abroad of energy efficiency retrofit of existing residential buildings, determines the key influence factors. Creates the appraisement model based on BP artificial neural network, and proposes some modes suitable for the present conditions in China.