Improved Three-term Conjugate Gradient Algorithm For Training Neural Network

Improved Three-term Conjugate Gradient Algorithm For Training Neural Network

A new three-term conjugate gradient algorithm for training feed-forward neural networks is developed. It is a vector based training algorithm derived from DFP quasi-Newton and has only O(n) memory. The global convergence to the proposed algorithm has been established for convex function under W...

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Bibliographic Details
Main Author:	Abbas H. Taqi
Format:	Article
Language:	English
Published:	Faculty of Computer Science and Mathematics, University of Kufa 2015-06-01
Series:	Journal of Kufa for Mathematics and Computer
Subjects:	Feed Forward Neural Network Training Algorithms Optimization Three Terms Conjugate Gradient algorithms Neural Network.
Online Access:	https://journal.uokufa.edu.iq/index.php/jkmc/article/view/2137

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