价值工程
價值工程
개치공정
VALUE ENGINEERING
2015年
4期
134-135,136
,共3页
低碳建筑%评价方法%层次分析法%BP神经网络
低碳建築%評價方法%層次分析法%BP神經網絡
저탄건축%평개방법%층차분석법%BP신경망락
low-carbon architecture%assessment method%AHP(the analytic hierarchy process)%BP neural network
低碳建筑是建筑行业不可避免的发展趋势，尤其是在全球变暖的危急时刻，必须对低碳建筑做出综合评价。从建筑的全生命周期出发，本文利用层次分析法（AHP）和BP神经网络法构建低碳建筑评价体系。结果显示：基于层次分析与BP神经网络的评价结果，要比传统层次分析法的评价结果更精确。表明BP神经网络法能有效降低层次分析法中主观因素带来的影响，提高评价结果的客观性。
低碳建築是建築行業不可避免的髮展趨勢，尤其是在全毬變暖的危急時刻，必鬚對低碳建築做齣綜閤評價。從建築的全生命週期齣髮，本文利用層次分析法（AHP）和BP神經網絡法構建低碳建築評價體繫。結果顯示：基于層次分析與BP神經網絡的評價結果，要比傳統層次分析法的評價結果更精確。錶明BP神經網絡法能有效降低層次分析法中主觀因素帶來的影響，提高評價結果的客觀性。
저탄건축시건축행업불가피면적발전추세，우기시재전구변난적위급시각，필수대저탄건축주출종합평개。종건축적전생명주기출발，본문이용층차분석법（AHP）화BP신경망락법구건저탄건축평개체계。결과현시：기우층차분석여BP신경망락적평개결과，요비전통층차분석법적평개결과경정학。표명BP신경망락법능유효강저층차분석법중주관인소대래적영향，제고평개결과적객관성。
Low carbon architecture is an inevitable developmental trend of the construction industry. Especially in a crisis of global warming, we must make a comprehensive evaluation of low carbon architecture. Starting from the full life cycle of the building, the article used AHP and BP neural network method to build the low-carbon architecture evaluation system. The results showed that: compared with the only AHP, the evaluation result based on AHP and BP neural network method is more accurate. The model would effectively reduce the influence of subjective factors and enhance the objectivity of the evaluation results.
