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

DOI

10.2991/icmmct-16.2016.26How to use a DOI?

Keywords

Frame structure; BP neural network; Project cost; Cost index

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.

Copyright

© 2016, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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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  - 10.2991/icmmct-16.2016.26
ID  - Zhao2016/03
ER  -