基于人工神经网络法的绿色建筑评价

以实际建筑物为例,介绍了用层次分析法建立绿色建筑评价模型的过程,并分别用层次分析法和人工神经网络法对实际建筑物进行了评价。评价结果显示,人工神经网络法与层次分析法相对误差不到0.5%,表明人工神经网络法作为一种客观科学的评价方法,应用于绿色建筑的评价,能有效降低主观因素带来的影响,会使结果更具有客观性。

Green Building Assessment Based on Artificial Neural Network

Taking the actual building as an example, the process of applying AHP to establish a green building assessment model was introduced. The actual building was evaluated with AHP and the artificial neural network method. The assessment results showed that the relative error of the artificial neural network to AHP was less than 0.5%. It showed that the artificial neural network was an objective assessment method, when it was used in evaluation of green building would effectively reduce the influence of subjective factors and make the result more objective.