Non-linear variable selection for artificial neural networks using partial mutual information

2008 ◽  
Vol 23 (10-11) ◽  
pp. 1312-1326 ◽  
Author(s):  
Robert J. May ◽  
Holger R. Maier ◽  
Graeme C. Dandy ◽  
T.M.K. Gayani Fernando
Keyword(s):  
Neural Networks ◽  
Artificial Neural Networks ◽  
Mutual Information ◽  
Variable Selection ◽  
Non Linear ◽  
Selection For ◽  
Artificial Neural

scholarly journals Analysis of Cantilever Beam Deflection under Uniformly Distributed Load using Artificial Neural Networks

2019 ◽  
Vol 255 ◽  
pp. 06004
Author(s):  
T.M.Y.S Tuan Ya ◽  
Reza Alebrahim ◽  
Nadziim Fitri ◽  
Mahdi Alebrahim
Keyword(s):  
Neural Networks ◽  
Artificial Neural Networks ◽  
Cantilever Beam ◽  
Training Data ◽  
Beam Deflection ◽  
Problem Solver ◽  
Distributed Load ◽  
Uniformly Distributed Load ◽  
Non Linear ◽  
Artificial Neural

In this study the deflection of a cantilever beam was simulated under the action of uniformly distributed load. The large deflection of the cantilever beam causes the non-linear behavior of beam. The prupose of this study is to predict the deflection of a cantilever beam using Artificial Neural Networks (ANN). The simulation of the deflection was carried out in MATLAB by using 2-D Finite Element Method (FEM) to collect the training data for the ANN. The predicted data was then verified again through a non linear 2-D geometry problem solver, FEM. Loads in different magnitudes were applied and the non-linear behaviour of the beam was then recorded. It was observed that, there is a close agreement between the predicted data from ANN and the results simulated in the FEM.

scholarly journals Hybrid Spectral Unmixing: Using Artificial Neural Networks for Linear/Non-Linear Switching

2017 ◽  
Vol 9 (8) ◽  
pp. 775 ◽  
Author(s):  
Asmau Ahmed ◽  
Olga Duran ◽  
Yahya Zweiri ◽  
Mike Smith
Keyword(s):  
Neural Networks ◽  
Artificial Neural Networks ◽  
Spectral Unmixing ◽  
Non Linear ◽  
Artificial Neural
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