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基于GA-ANN的建筑工程质量评价模型研究
引用本文:张立宁,安晶,何燕,石华旺.基于GA-ANN的建筑工程质量评价模型研究[J].华北科技学院学报,2011,8(1):50-53.
作者姓名:张立宁  安晶  何燕  石华旺
作者单位:1. 华北科技学院土木工程系,北京东燕郊,101601;北京理工大学机电学院,北京,100081
2. 华北科技学院土木工程系,北京东燕郊,101601
3. 河北工程大学土木学院,河北邯郸,056038
基金项目:高层建筑火灾危险性预控系统研究(华北科技学院2009年2月19日)
摘    要:综述建筑工程质量评价的研究现状,建立建筑工程质量评价指标体系.在此基础上,利用人工神经网络强大的非线性函数逼近能力,实现对建筑工程质量水平的评价.针对人工神经网络的不足,本研究将遗传算法引入神经网络,实现两种算法的优势互补.最后,通过实例验证该方法的可行性与有效性.

关 键 词:遗传算法  人工神经网络  评价指标体系  建筑工程质量评价

Study on the evaluation model for construction project quality based on GA-ANN
ZHANG Lining,AN Jing,LIN Dachao,SHI Huawang.Study on the evaluation model for construction project quality based on GA-ANN[J].Journal of North China Institute of Science and Technology,2011,8(1):50-53.
Authors:ZHANG Lining  AN Jing  LIN Dachao  SHI Huawang
Institution:1.institute of science and technology,civil engineering department,Yanjiao Beijing-East 101601; 2.Beijing institute of technology,achademy of mechanical-electrical engineering,Beijing, 100081;3.Hebei Engineering University,Handan Hebei 056038)
Abstract:This paper overviews the present research conditions of construction project quality evaluation and sets up the index system of construction project quality evaluation.On this basis,accomplishes the stage forecast for construction project quality evaluation based on the great nonlinear function approaching capability of the ANN.For solving the shortage of ANN,this paper introduces GA into it,uses the two operators alternately,thus accomplishes dominance complement of the two intellect optimization algorithms.At last,an actual example is presented to justify the validity and feasibility of this model.
Keywords:Genetic algorithm  Artificial nerve network  Evaluation index system  Construction project quality evaluation
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