Fast Conjugate Gradient Algorithm for Feedforward Neural Networks

2020 ◽  
pp. 27-38
Author(s):  
Jarosław Bilski ◽  
Jacek Smoląg
Keyword(s):  
Neural Networks ◽  
Conjugate Gradient ◽  
Feedforward Neural Networks ◽  
Conjugate Gradient Algorithm ◽  
Gradient Algorithm

scholarly journals Generalized Dai-Yuan conjugate gradient algorithm for training multi-layer feed-forward neural networks

2019 ◽  
Vol 24 (1) ◽  
pp. 115
Author(s):  
Hind H. Mohammed
Keyword(s):  
Neural Networks ◽  
Artificial Neural Networks ◽  
Global Convergence ◽  
Conjugate Gradient ◽  
Conjugate Gradient Algorithm ◽  
Gradient Algorithm ◽  
Conjugacy Condition ◽  
Feed Forward ◽  
Descent Property ◽  
Feed Forward Neural Networks

In this paper, we will present different type of CG algorithms depending on Peary conjugacy condition. The new conjugate gradient training (GDY) algorithm using to train MFNNs and prove it's descent property and global convergence for it and then we tested the behavior of this algorithm in the training of artificial neural networks and compared it with known algorithms in this field through two types of issues   http://dx.doi.org/10.25130/tjps.24.2019.020

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