Learning Algorithm effect on Multilayer Feed Forward Artificial Neural Network performance in image coding

One of the essential factors that affect the performance of Artificial Neural Networks is the learning algorithm. The performance of Multilayer Feed Forward Artificial Neural Network performance in image compression using different learning algorithms is examined in this paper. Based on Gradient Des...

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Main Authors:	Mahmoud, Omer, Anwar, Farhat, Salami, Momoh Jimoh Emiyoka
Format:	Article
Language:	English
Published:	School of Engineering, Taylor’s University College 2007
Subjects:	TK7885 Computer engineering
Online Access:	http://irep.iium.edu.my/6463/ http://irep.iium.edu.my/6463/ http://irep.iium.edu.my/6463/1/188-_199_Mahmoud.pdf

id	iium-6463
recordtype	eprints
spelling	iium-64632019-11-25T08:07:26Z http://irep.iium.edu.my/6463/ Learning Algorithm effect on Multilayer Feed Forward Artificial Neural Network performance in image coding Mahmoud, Omer Anwar, Farhat Salami, Momoh Jimoh Emiyoka TK7885 Computer engineering One of the essential factors that affect the performance of Artificial Neural Networks is the learning algorithm. The performance of Multilayer Feed Forward Artificial Neural Network performance in image compression using different learning algorithms is examined in this paper. Based on Gradient Descent, Conjugate Gradient, Quasi-Newton techniques three different error back propagation algorithms have been developed for use in training two types of neural networks, a single hidden layer network and three hidden layers network. The essence of this study is to investigate the most efficient and effective training methods for use in image compression and its subsequent applications. The obtained results show that the Quasi-Newton based algorithm has better performance as compared to the other two algorithms. School of Engineering, Taylor’s University College 2007-08 Article PeerReviewed application/pdf en http://irep.iium.edu.my/6463/1/188-_199_Mahmoud.pdf Mahmoud, Omer and Anwar, Farhat and Salami, Momoh Jimoh Emiyoka (2007) Learning Algorithm effect on Multilayer Feed Forward Artificial Neural Network performance in image coding. Journal of Engineering Science and Technology , 2 (2). pp. 188-199. ISSN 1823-4690 http://jestec.taylors.edu.my/V2Issue2.html
repository_type	Digital Repository
institution_category	Local University
institution	International Islamic University Malaysia
building	IIUM Repository
collection	Online Access
language	English
topic	TK7885 Computer engineering
spellingShingle	TK7885 Computer engineering Mahmoud, Omer Anwar, Farhat Salami, Momoh Jimoh Emiyoka Learning Algorithm effect on Multilayer Feed Forward Artificial Neural Network performance in image coding
description	One of the essential factors that affect the performance of Artificial Neural Networks is the learning algorithm. The performance of Multilayer Feed Forward Artificial Neural Network performance in image compression using different learning algorithms is examined in this paper. Based on Gradient Descent, Conjugate Gradient, Quasi-Newton techniques three different error back propagation algorithms have been developed for use in training two types of neural networks, a single hidden layer network and three hidden layers network. The essence of this study is to investigate the most efficient and effective training methods for use in image compression and its subsequent applications. The obtained results show that the Quasi-Newton based algorithm has better performance as compared to the other two algorithms.
format	Article
author	Mahmoud, Omer Anwar, Farhat Salami, Momoh Jimoh Emiyoka
author_facet	Mahmoud, Omer Anwar, Farhat Salami, Momoh Jimoh Emiyoka
author_sort	Mahmoud, Omer
title	Learning Algorithm effect on Multilayer Feed Forward Artificial Neural Network performance in image coding
title_short	Learning Algorithm effect on Multilayer Feed Forward Artificial Neural Network performance in image coding
title_full	Learning Algorithm effect on Multilayer Feed Forward Artificial Neural Network performance in image coding
title_fullStr	Learning Algorithm effect on Multilayer Feed Forward Artificial Neural Network performance in image coding
title_full_unstemmed	Learning Algorithm effect on Multilayer Feed Forward Artificial Neural Network performance in image coding
title_sort	learning algorithm effect on multilayer feed forward artificial neural network performance in image coding
publisher	School of Engineering, Taylor’s University College
publishDate	2007
url	http://irep.iium.edu.my/6463/ http://irep.iium.edu.my/6463/ http://irep.iium.edu.my/6463/1/188-_199_Mahmoud.pdf
first_indexed	2023-09-18T20:15:25Z
last_indexed	2023-09-18T20:15:25Z
_version_	1777407755106123776

Learning Algorithm effect on Multilayer Feed Forward Artificial Neural Network performance in image coding

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