scholarly journals Evaluation of microstructural complex geometry of robot laser hardened materials through a genetic programming model

2021 ◽  
Vol 55 ◽  
pp. 253-259
Author(s):  
M. Babič ◽  
G. Lesiuk ◽  
D. Marinkovic ◽  
M. Calì
2007 ◽  
Vol 21 (2) ◽  
pp. 266-272 ◽  
Author(s):  
C. Sivapragasam ◽  
P. Vincent ◽  
G. Vasudevan

2007 ◽  
Vol 44 (12) ◽  
pp. 1462-1473 ◽  
Author(s):  
Mohammad Rezania ◽  
Akbar A. Javadi

In this paper, a new genetic programming (GP) approach for predicting settlement of shallow foundations is presented. The GP model is developed and verified using a large database of standard penetration test (SPT) based case histories that involve measured settlements of shallow foundations. The results of the developed GP model are compared with those of a number of commonly used traditional methods and artificial neural network (ANN) based models. It is shown that the GP model is able to learn, with a very high accuracy, the complex relationship between foundation settlement and its contributing factors, and render this knowledge in the form of a function. The attained function can be used to generalize the learning and apply it to predict settlement of foundations for new cases not used in the development of the model. The advantages of the proposed GP model over the conventional and ANN based models are highlighted.


Author(s):  
César L. Alonso ◽  
José Luis Montaña ◽  
Cruz Enrique Borges

2019 ◽  
Vol 100 ◽  
pp. 327-335 ◽  
Author(s):  
Kemal Özkan ◽  
Şahin Işık ◽  
Zerrin Günkaya ◽  
Aysun Özkan ◽  
Müfide Banar

2009 ◽  
Vol 36 (2) ◽  
pp. 3199-3207 ◽  
Author(s):  
Hossein Etemadi ◽  
Ali Asghar Anvary Rostamy ◽  
Hassan Farajzadeh Dehkordi

IEEE Access ◽  
2020 ◽  
Vol 8 ◽  
pp. 95333-95344
Author(s):  
Hang Yao ◽  
Xiang Jia ◽  
Qian Zhao ◽  
Zhi-Jun Cheng ◽  
Bo Guo

2015 ◽  
Vol 9 ◽  
pp. 6707-6722
Author(s):  
Joseph Ackora-Prah ◽  
Fidelis Nyame Oheneba-Osei ◽  
Perpetual Saah Andam ◽  
Daniel Gyamfi ◽  
Samuel Asante Gyamerah

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