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
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;
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
DOI :
10.1109/AIMSEC.2011.6010730