scholarly journals New semi-automatic 3D registration method for terrestrial laser scanning data of bridge structures based on artificial neural networks

2021 ◽  
Author(s):  
A. Serwa ◽  
M. Saleh
Keyword(s):  
Neural Networks ◽  
Artificial Neural Networks ◽  
Laser Scanning ◽  
Terrestrial Laser Scanning ◽  
3D Registration ◽  
Registration Method ◽  
Bridge Structures ◽  
Artificial Neural

Crack Width Estimation Using Feed and Cascade Forward Back Propagation Artificial Neural Networks

2018 ◽  
Vol 786 ◽  
pp. 293-301 ◽  
Author(s):  
Hesham M. Shehata ◽  
Yasser S. Mohamed ◽  
Mohamed Abdellatif ◽  
Taher H. Awad
Keyword(s):  
Neural Networks ◽  
Artificial Neural Networks ◽  
Crack Width ◽  
Laser Scanning ◽  
Back Propagation ◽  
Maximum Width ◽  
The Neural Networks ◽  
Maximum Crack ◽  
Artificial Neural ◽  
The Cost

Automatic crack inspection techniques that limit the necessity of human have the potential to lower the cost and time of the process. In this study, a maximum crack width estimation approach is presented. Seventy nine segments of cracks are used for training the neural networks and twenty six segments are used for examination. The maximum width for each segment is measured using laser scanning microscope and segment image is captured and magnified using the microscope camera in order to obtain the extracted crack profile number of pixels. Feed and cascade forward back propagation artificial neural networks are designed and constructed. The input and output for the networks are the crack width in terms of number of pixels and the maximum estimated crack width respectively. It is shown that, the artificial neural networks technique can effectively be used to estimate the crack width. The feedforward back propagation structure which is designed with two layers and training function TRAINLM gives the best results in examination.

FUTURE OF ARTIFICIAL NEURAL NETWORKS IN SPACE EXPLORATION AND SPACE ENGINEERING

2018 ◽  
pp. 6-11
Author(s):  
Kobiljon Kh. Zoidov ◽  
◽  
Svetlana V. Ponomareva ◽  
Daniel I. Serebryansky ◽  
◽  
...  
Keyword(s):  
Neural Networks ◽  
Artificial Neural Networks ◽  
Space Exploration ◽  
Artificial Neural

Bankruptcy Prediction Models: A Bet on Artificial Neural Networks

2012 ◽  
Vol 3 (2) ◽  
pp. 48-50
Author(s):  
Ana Isabel Velasco Fernández ◽  
◽  
Ricardo José Rejas Muslera ◽  
Juan Padilla Fernández-Vega ◽  
María Isabel Cepeda González
Keyword(s):  
Neural Networks ◽  
Artificial Neural Networks ◽  
Prediction Models ◽  
Bankruptcy Prediction ◽  
Artificial Neural
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