Title :
Quota Making of Super-Long Highway Tunnel Based on BP Neural Network
Author :
Xingxin, Cheng ; Xuancang, Wang ; Ting, Zhan
Author_Institution :
Sch. of Highway, Chang´´an Univ., Xi´´an, China
Abstract :
In construction of super-long highway tunnel, because adopted some new construction method, such as center bore method, quota of it was very difficult. By BP neural network, a new quota-making method of super-long highway tunnel was put forward. Through a great many of training of data samples, quota is more related with actual consumption and it can be dynamically adjusted. The method was successfully used in quota-making of Zhonglanshan tunnel in Qinling Mountains. Compared with coal quota method, it was more accurate.
Keywords :
backpropagation; neural nets; railways; traffic engineering computing; BP neural network; Qinling mountains; Zhonglanshan tunnel; quota making; super-long highway tunnel; Boring; Databases; Information management; Innovation management; Joining processes; Mathematical model; Neural networks; Neurons; Rail transportation; Road transportation; BP neural network; center bore method; quota making; tunnel;
Conference_Titel :
Information Management, Innovation Management and Industrial Engineering, 2009 International Conference on
Print_ISBN :
978-0-7695-3876-1
DOI :
10.1109/ICIII.2009.302
