DocumentCode
2688667
Title
GA neural network of the cost of the building graphic of the analysis and understanding
Author
Zou, Kuancheng ; Qian, Ye ; Li, Yafei ; Zhang, Pengfei
Author_Institution
Sch. of Comput. Sci. & Eng., Changchun Univ. of Technol., Changchun, China
Volume
1
fYear
2010
fDate
24-26 Aug. 2010
Firstpage
305
Lastpage
308
Abstract
The costs of pre-building graphic in the construction project management is a very important job, based on neural network theory and the characteristics of the costs of building graphic, raised GA neural network to solve the cost of building graphic problem, applied BP network model and used GA to optimize the weight based on BP algorithm. The calculation examples showed that the accuracy of the cost estimation met the requirements basically.
Keywords
backpropagation; building; computer graphics; construction industry; costing; genetic algorithms; neural nets; project management; BP network; GA neural network; construction project management; cost estimation; prebuilding graphic costs; Adaptation model; Gallium; BP algorithm; GA; Neural network; the cost of building graphic;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer, Mechatronics, Control and Electronic Engineering (CMCE), 2010 International Conference on
Conference_Location
Changchun
Print_ISBN
978-1-4244-7957-3
Type
conf
DOI
10.1109/CMCE.2010.5610497
Filename
5610497
Link To Document