scholarly journals Characterizing Evaporation Ducts Within the Marine Atmospheric Boundary Layer Using Artificial Neural Networks

Radio Science ◽  
2019 ◽  
Vol 54 (12) ◽  
pp. 1181-1191 ◽  
Author(s):  
Hilarie Sit ◽  
Christopher J. Earls
Keyword(s):  
Boundary Layer ◽  
Neural Networks ◽  
Artificial Neural Networks ◽  
Atmospheric Boundary Layer ◽  
Marine Atmospheric Boundary Layer ◽  
Artificial Neural

Active boundary layer control in linear cascades using CFD and artificial neural networks

2014 ◽  
Vol 39 ◽  
pp. 243-249 ◽  
Author(s):  
Jelena Svorcan ◽  
Slobodan Stupar ◽  
Srđan Trivković ◽  
Nikola Petrašinović ◽  
Toni Ivanov
Keyword(s):  
Boundary Layer ◽  
Neural Networks ◽  
Artificial Neural Networks ◽  
Boundary Layer Control ◽  
Artificial Neural ◽  
Layer Control

scholarly journals Artificial neural networks for solving elliptic differential equations with boundary layer

2020 ◽  
Author(s):  
Dongfang Yuan ◽  
Wenhui Liu ◽  
Yongbin Ge ◽  
Guimei Cui ◽  
Lin Shi ◽  
...  
Keyword(s):  
Neural Network ◽  
Boundary Layer ◽  
Neural Networks ◽  
Artificial Neural Networks ◽  
Convection Diffusion ◽  
Convection Diffusion Equation ◽  
Mapping Strategy ◽  
Elliptic Differential Equations ◽  
Artificial Neural ◽  
Hidden Layer

In this paper, we consider the artificial neural networks for solving the differential equation with boundary layer, in which the gradient of the solution changes sharply near the boundary layer. The solution of the boundary layer problems poses a huge challenge to both traditional numerical methods and artificial neural network methods. By theoretical analyzing the changing rate of the weights of first hidden layer near the boundary layer, a mapping strategy is added in traditional neural network to improve the convergence of the loss function. Numerical examples are carried out for the 1D and 2D convection-diffusion equation with boundary layer. The results demonstrate that the modified neural networks significantly improve the ability in approximating the solutions with sharp gradient.

Determination of S-N curves with the application of artificial neural networks

1999 ◽  
Vol 22 (8) ◽  
pp. 723-728 ◽  
Author(s):  
Artymiak ◽  
Bukowski ◽  
Feliks ◽  
Narberhaus ◽  
Zenner
Keyword(s):  
Neural Networks ◽  
Artificial Neural Networks ◽  
Artificial Neural

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
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