Research on Estimation for Architectural Project Cost Based on BP Neural Network
Jing Zhao, Li Zhao, Yi-wei Ren
Available Online March 2016.
- https://doi.org/10.2991/icmmct-16.2016.26How to use a DOI?
- Frame structure; BP neural network; Project cost; Cost index
- 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.
- Open Access
- This is an open access article distributed under the CC BY-NC license.
Cite this article
TY - CONF AU - Jing Zhao AU - Li Zhao AU - Yi-wei Ren PY - 2016/03 DA - 2016/03 TI - Research on Estimation for Architectural Project Cost Based on BP Neural Network BT - Proceedings of the 2016 4th International Conference on Machinery, Materials and Computing Technology PB - Atlantis Press SP - 137 EP - 142 SN - 2352-5401 UR - https://doi.org/10.2991/icmmct-16.2016.26 DO - https://doi.org/10.2991/icmmct-16.2016.26 ID - Zhao2016/03 ER -