DocumentCode
3176514
Title
Research on simulating technical-economic indexes of railway construction project on Intelligence Agent
Author
Jun-chao, Lv ; Jun-wen, Mo ; Yan-long, Zhao
Author_Institution
Sch. of Civil Eng., Lanzhou Jiaotong Univ., Lanzhou, China
fYear
2011
fDate
8-10 Aug. 2011
Firstpage
3280
Lastpage
3283
Abstract
Railway, as one of the most essential infrastructures of China, has endured extremely high difficulty level due to huge investment scale and high quality requirements. The traditional management method of technical-economic indexes and simulation are not perfect, so simulating technical indexes catering to the features of railway construction project is an accurate and efficient management method. First, the function model is produced by referring to activities of railway construction, then, the information processing general framework of model is constructed combining with the Intelligent Agent theory, and the information model is built through the analysis of the information flows between activity subjects, and the calculation model of every functional subject is modeled by utilizing different Artificial Neural Network model, the technical-economic indexes simulation model will be completed by connecting many functional subjects according to the information flow, and the data is simulated by the model. This model has been tested and verified practical through example calculation.
Keywords
construction industry; economics; investment; neural nets; quality management; railway engineering; software agents; China; artificial neural network; high quality requirements; information processing; intelligence agent; investment scale; railway construction project; technical-economic indexes; traditional management; Analytical models; Biological system modeling; Brain modeling; Data models; Indexes; Mathematical model; Rail transportation; agent; artificial intelligence; artificial neural network; railway construction project; simulation; techno-economic indexes;
fLanguage
English
Publisher
ieee
Conference_Titel
Artificial Intelligence, Management Science and Electronic Commerce (AIMSEC), 2011 2nd International Conference on
Conference_Location
Deng Leng
Print_ISBN
978-1-4577-0535-9
Type
conf
DOI
10.1109/AIMSEC.2011.6010730
Filename
6010730
Link To Document