Subscribe Now Subscribe Today
Science Alert
 
Blue
   
Curve Top
Journal of Applied Sciences
  Year: 2014 | Volume: 14 | Issue: 2 | Page No.: 183-187
DOI: 10.3923/jas.2014.183.187
 
Facebook Twitter Digg Reddit Linkedin StumbleUpon E-mail

Markup Decision-Making Model Based on Genetic Algorithm Optimization BP Network

Chen Jun, Zhu Jielu and Li Yuanhui

Abstract:
The decision of project bidding project level, not only is the determining factor whether win the bid of the project and project implementation success or failure and the determinants of construction enterprises can profit. In order to quicken the bidding speed of construction enterprises and to raise the success rate of their price decision-making, a markup decision-making model was established based on the artificial intelligence techniques: genetic algorithm and BP network. The model was verified by use of the data from many successful bidding examples that were chosen as the samples. The accuracy rate of decision-making, the inference speed as well as the self-learning of the decision-making system of the present model were superior to those of the traditional artificial neural network methods. It might be helpful to the bidding of construction enterprises.
PDF Fulltext XML References Citation Report Citation
How to cite this article:

Chen Jun, Zhu Jielu and Li Yuanhui , 2014. Markup Decision-Making Model Based on Genetic Algorithm Optimization BP Network. Journal of Applied Sciences, 14: 183-187.

DOI: 10.3923/jas.2014.183.187

URL: https://scialert.net/abstract/?doi=jas.2014.183.187

COMMENT ON THIS PAPER
 
 
 

 

 
 
 
 
 
 
 
 
 

 
 
 
 
 
 
 

Curve Bottom