Research on Building Cost Control Technology Based on Predictive Model——Take a residential project as an example
In order to effectively carry out the construction project cost control,the existing project cost data are excavated and analyzed,and the project cost index system is constructed.The advanced adaptive neural network is used to construct the project cost prediction model and complete the project cost management.In the cost prediction,the improved genetic algorithm-Bank Propagation Neural Network(GA-BP)improves the accuracy of cost prediction by 29.65%compared with the traditional bank propagation neural network(BP),and by 56.98%compared with the earlier expert prediction methods.It can be seen that the proposed prediction model has high cost prediction accuracy and meets the requirements of project cost management.The research content has important reference value for the development of building construction informatization.
Project costAdaptive neural networkPrediction modelIndex system
万方数据
