DocumentCode :
3732057
Title :
Estimating System of Project Cost Based on Neural Network
Author :
Jianguo Wang
Author_Institution :
Xinjiang Corps Xingxin Polytech., Urumqi, China
fYear :
2015
Firstpage :
392
Lastpage :
395
Abstract :
Today, the subway has become an important means of transport. However, the huge construction project of subway has not yet formed a complete system in the budget. Taking Guangzhou Metro Line as an example, by BP neural network model, two evaluation model about station cost fees and range expenses were established. At the station costs, take the cost the station and extending into account. In the range of costs, take the range cost and the extending fees into account. In addition, the cost of subway basic data was normalized to the benefits of distributed data. The model will help to quickly conduct the subway cost budget evaluation.
Keywords :
"Transportation","Big data","Smart cities"
Publisher :
ieee
Conference_Titel :
Intelligent Transportation, Big Data and Smart City (ICITBS), 2015 International Conference on
Type :
conf
DOI :
10.1109/ICITBS.2015.103
Filename :
7384049
Link To Document :
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