摘要
Abstract
In order to improve the prediction accuracy of construction project cost,this paper establishes the construction project cost prediction model by fuzzy logic and neural network method,and verifies the accuracy of the model.Theresults show that the fitting coefficient of the training data and the actual value is 0.999,which indicates that the fitting goodness of the training model is good.The error between the predicted value and the true value of the project cost ranges from 0.92%to 7.41%,and the prediction accuracy error of sample 2 is the highest 7.41%.The prediction accuracy of all samples of the project cost meets the requirements,which verifies the reliability of the accuracy of the model.关键词
建筑工程/神经网络/模糊逻辑/特征数据/造价预测模型Key words
Construction engineering/Neural network/Fuzzy logic/Characteristic data/Cost forecasting model分类
建筑与水利
