CAJ | 학술논문

分析影响民用建筑工程造价的主要因素并提取相应的工程特征指标;采用系统聚类的方法,选择待估算工程的有效样本类,确定最佳样本数量.将上述提取的工程特征值作为输入值,以工程造价作为输出值,建立建筑工程造价的BP神经网络估算模型.最后通过实例验证,预测精度符合决策阶段的要求,证明该模型确实可行.
분석영향민용건축공정조개적주요인소병제취상응적공정특정지표;채용계통취류적방법,선택대고산공정적유효양본류,학정최가양본수량.장상술제취적공정특정치작위수입치,이공정조개작위수출치,건립건축공정조개적BP신경망락고산모형.최후통과실례험증,예측정도부합결책계단적요구,증명해모형학실가행.
This paper analyzes the main factors that influence the civil construction project cost,extracts the corresponding engineering characteristic indexes. Then,applies the system clustering method to divide the samples into categories and select those which contain the project to be estimate,determines the optimal number of samples. The paper builds the civil construction project cost estimation model based on BP neural network by taking the value of extracted characteristics as input and value of the project cost as output respectively. Finally, uses an instance to verify that the model meets the requirements of the decision-making stage.