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基于混沌神经网络的建筑节能综合评价
引用本文:吴成东,丛娜,孙常春.基于混沌神经网络的建筑节能综合评价[J].沈阳建筑工程学院学报(自然科学版),2010,26(1).
作者姓名:吴成东  丛娜  孙常春
作者单位:吴成东,WU Chengdong(沈阳建筑大学信息与控制工程学院,辽宁,沈阳,110168);丛娜,CONG Na(中国科学院沈阳自动化研究所,辽宁,沈阳,110016);孙常春,SUN Changchun(沈阳建筑大学理学院,辽宁,沈阳,110168) 
摘    要:目的 构建建筑节能综合评价指标体系,对建筑节能进行综合评价.方法 针对神经网络BP算法收敛速度慢且容易陷入局部极小值问题,在常规神经网络中引入混沌神经元,建立混沌神经网络建筑节能综合评价模型.结果 根据建筑节能综合评价指标体系各量化指标,得出科学合理的评价结果 .通过实验仿真验证了该混沌学习算法的有效性和先进性.在输入参数相同的情况下,训练收敛到相同精度,CNN模型的训练次数少于BP网络模型,CNN模型用于建筑节能评价精度高.结论 运用混沌神经网络进行建筑节能综合评价的方法 是有效的.

关 键 词:建筑节能  节能评价  指标体系  混沌神经网络

Comprehensive Evaluation of Building Energy Conservation Based on Chaotic Neural Network
WU Chengdong,CONG Na,SUN Changchun.Comprehensive Evaluation of Building Energy Conservation Based on Chaotic Neural Network[J].Journal of Shenyang Archit Civil Eng Univ: Nat Sci,2010,26(1).
Authors:WU Chengdong  CONG Na  SUN Changchun
Affiliation:WU Chengdong1,CONG Na2,SUN Changchun3(1.School of Information , Control Engineering,Shenyang Jianzhu University,Shenyang China,110168,2.Shenyang Institute of Automation Chinese Academy of Sciences,110016,3.School of Science,110168)
Abstract:Comprehensive evaluation criterion system of building energy conservation is built in this paper,and building energy conservation can be evaluated.The motion of chaos is applied to the train of BP algorithm of artificial neural network to improve its convergence.This makes its solution escape from the local utmost points and approach global optimum.The evaluation model of building energy conservation based on chaotic neural network is built.According to building energy quantitative target,the method can giv...
Keywords:building energy conservation  evaluation of energy conservation  criterion system  CNN  
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