Research on Estimation for Architectural Project Cost Based on BP Neural Network

Abstract

Abstract. The estimation of project cost affects the rationality of project invitation for bid. According to the principles of construction budget estimate, the main character index is identified as a model example, and the char index is transformed into a numeric character index. At the same time, the BP neural network improved by gradient descent momentum and an adaptive learning rate is introduced to estimate the project cost which involved the cost index, and the prototype data is presented and analyzed in the neural network to establish the cost estimation model. The results show that the model is feasible and credible completely, the cost error of which is much better than that in the relevant document, and it could provide a more efficient path for fast estimating of the project cost.