Application of artificial neural network in highway tunnel’s support design
Yongdong Wang · Journal of Chang'an University · 2005
Selecting representative design examples, from which characteristic parameters are extracted and regressed, thus the neural network training stylebook is formed. A BP neural network execute program is compiled in MATLAB. After training, it leads to steady neural network, which is used in practical project prediction. By comparison and analysis, the feasibility and reliability of artificial neural network in highway tunnel’s support design are verified. The key of artificial neural network’s application in design of highway tunnd’s shoring is to ensure influencing design factors and distilling disciplinal stylebooks.