The genetic algorithm: A robust method for stress inversion

2017 ◽  
Vol 94 ◽  
pp. 227-239 ◽  
Author(s):  
Prithvi Thakur ◽  
Deepak C. Srivastava ◽  
Pravin K. Gupta
2011 ◽  
Vol 90-93 ◽  
pp. 337-341
Author(s):  
Ran Gang Yu ◽  
Yong Tian

This paper propose genetic algorithm combined with neural networks, greatly improving the convergence rate of neural network aim at the disadvantage of the traditional BP neural network inversion method is easy to fall into local minimum and slow convergence.Finally, verified the feasibility and superiority of the above methods through the successful initial ground stress inversion of actual project.


Author(s):  
Ali Mostafa Anwar ◽  
Saif M. Khodary ◽  
Mohamed Soudy ◽  
Eman Ali Ahmed ◽  
Aya Osama ◽  
...  

2009 ◽  
Vol 36 (2) ◽  
pp. 2008-2016 ◽  
Author(s):  
M.R. Girgis ◽  
A.A. Sewisy ◽  
R.F. Mansour

2012 ◽  
Author(s):  
Tutuka Ariadji ◽  
Prasandi Abdul Aziz ◽  
Edy Soewono ◽  
Anas Asy Syifa ◽  
Lala Septem Riza ◽  
...  

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