基于BP神经网络的既有居住建筑节能改造模式选择
Mode selection for energy efficiency retrofit of existing residential buildings based on BP artificial neural network
摘要：
通过分析国内外既有居住建筑节能改造实例，确定了关键影响因素指标体系。采用BP神经网络建立了既有居住建筑节能改造评价模型，并提出了适合我国既有居住建筑节能改造的模式。
关键词：既有居住建筑 节能改造 评价 模式选择 BP 人工神经网络
Abstract：
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.
Keywords:existing residential buildings, energy efficient retrofit, appraisement, mode selection, back propagation, artificial neural network