Non-Newtonian Fluid Flow Measurement in Open Venturi Channel Using Shallow Neural Network Time Series and Non-Contact Level Measurement Radar Sensors

2020 ◽  
Author(s):  
N. S. Noori ◽  
T. I. Waag ◽  
H. Viumdal ◽  
R. Sharma ◽  
M. H. Jondahl ◽  
...  
2011 ◽  
Vol 261-263 ◽  
pp. 1789-1793 ◽  
Author(s):  
Guang Xiang Mao ◽  
Yuan You Xia ◽  
Ling Wei Liu

In the process of tunnel construction, because the rock stress redistribute, the vault and the two groups will generate displacement constantly. This paper adopts the genetic algorithm to optimize the weight and threshold of BP neural network, taking the tunnel depth, rock types and part measured values of displacement as input parameters to construct a neural network time series prediction model of tunnel surrounding rock displacement. The method proposed in the paper has been applied in the Ma Tou Tang tunnel construction successfully, and the results show that the model can predict the displacement of the surrounding rock quickly and accurately.


2019 ◽  
Vol 2019 (17) ◽  
pp. 4486-4489
Author(s):  
Christopher Micallef ◽  
Joseph Degabriele ◽  
Darren Camilleri

2009 ◽  
Author(s):  
Brian Markey ◽  
Yizhong Yu ◽  
Tamas Ban ◽  
Gagan Johal

1997 ◽  
Author(s):  
Steven C. Gustafson ◽  
Gordon R. Little ◽  
John S. Loomis ◽  
Theresa A. Tuthill

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