Application of Genetic Algorithm and Neural Network in Construction Cost Estimate

DOI

10.2991/iccia.2012.254How to use a DOI?

Keywords

neural network, BP algorithm, genetic algorithm, construction cost estimate

Abstract

Genetic algorithm optimizing BP has been proposed to aim at handling locality minimum and low convergence speed. The method based on analyzing the basic fundamental states that how to use genetic algorithm to improve the ability of BP. After optimizing, the GA-BP model has been built up. The result of GA-BP model can get lower forecast error and iterations. For these reason, GA-BP model is appropriate for construction cost estimation.

Copyright

© 2013, 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  - Guangli Feng
AU  - Li Li
PY  - 2014/05
DA  - 2014/05
TI  - Application of Genetic Algorithm and Neural Network in Construction Cost Estimate
BT  - Proceedings of the 2012 2nd International Conference on Computer and Information Application (ICCIA 2012)
PB  - Atlantis Press
SP  - 1036
EP  - 1039
SN  - 1951-6851
UR  - https://doi.org/10.2991/iccia.2012.254
DO  - 10.2991/iccia.2012.254
ID  - Feng2014/05
ER  -