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Parallel implementation on improved error signal of backpropagation algorithm

Improved error signal of the backpropagation (BP) algorithm on single processors has shown a tremendous result compared to its counterpart [1]. Further study on the improved BP algorithm is carried out on many processors, which is implemented using the Sequent Symmetry SE30 machine. Data partitionin...

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Main Authors: Mohd Aris, Teh Noranis, Sulaiman, Md. Nasir, Mohd Saman, Md. Yazid, Othman, Mohamed
Format: Article
Language:English
Published: Faculty of Computer Science and Information Technology, University of Malaya 2002
Online Access:http://psasir.upm.edu.my/id/eprint/49478/1/Parallel%20implementation%20on%20improved%20error%20signal%20of%20backpropagation%20algorithm.pdf
http://psasir.upm.edu.my/id/eprint/49478/
http://e-journal.um.edu.my/publish/MJCS/142-157
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spelling my.upm.eprints.494782016-12-30T02:52:05Z http://psasir.upm.edu.my/id/eprint/49478/ Parallel implementation on improved error signal of backpropagation algorithm Mohd Aris, Teh Noranis Sulaiman, Md. Nasir Mohd Saman, Md. Yazid Othman, Mohamed Improved error signal of the backpropagation (BP) algorithm on single processors has shown a tremendous result compared to its counterpart [1]. Further study on the improved BP algorithm is carried out on many processors, which is implemented using the Sequent Symmetry SE30 machine. Data partitioning method, with columnwise block striped and batch mode weight updating strategy, is applied on the BP algorithms. Twenty-six patterns consisting of uppercase letters from ‘A’ to ‘Z’ are tested in terms of speed and recognition rates. The parallel version of the BP algorithm produces good speedup as the numbers of processors are increased and a 100% recognition rate for trained and untrained data is achieved. Faculty of Computer Science and Information Technology, University of Malaya 2002 Article PeerReviewed application/pdf en http://psasir.upm.edu.my/id/eprint/49478/1/Parallel%20implementation%20on%20improved%20error%20signal%20of%20backpropagation%20algorithm.pdf Mohd Aris, Teh Noranis and Sulaiman, Md. Nasir and Mohd Saman, Md. Yazid and Othman, Mohamed (2002) Parallel implementation on improved error signal of backpropagation algorithm. Malaysian Journal of Computer Science, 15 (2). pp. 1-16. ISSN 0127-9084 http://e-journal.um.edu.my/publish/MJCS/142-157
institution Universiti Putra Malaysia
building UPM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Putra Malaysia
content_source UPM Institutional Repository
url_provider http://psasir.upm.edu.my/
language English
description Improved error signal of the backpropagation (BP) algorithm on single processors has shown a tremendous result compared to its counterpart [1]. Further study on the improved BP algorithm is carried out on many processors, which is implemented using the Sequent Symmetry SE30 machine. Data partitioning method, with columnwise block striped and batch mode weight updating strategy, is applied on the BP algorithms. Twenty-six patterns consisting of uppercase letters from ‘A’ to ‘Z’ are tested in terms of speed and recognition rates. The parallel version of the BP algorithm produces good speedup as the numbers of processors are increased and a 100% recognition rate for trained and untrained data is achieved.
format Article
author Mohd Aris, Teh Noranis
Sulaiman, Md. Nasir
Mohd Saman, Md. Yazid
Othman, Mohamed
spellingShingle Mohd Aris, Teh Noranis
Sulaiman, Md. Nasir
Mohd Saman, Md. Yazid
Othman, Mohamed
Parallel implementation on improved error signal of backpropagation algorithm
author_facet Mohd Aris, Teh Noranis
Sulaiman, Md. Nasir
Mohd Saman, Md. Yazid
Othman, Mohamed
author_sort Mohd Aris, Teh Noranis
title Parallel implementation on improved error signal of backpropagation algorithm
title_short Parallel implementation on improved error signal of backpropagation algorithm
title_full Parallel implementation on improved error signal of backpropagation algorithm
title_fullStr Parallel implementation on improved error signal of backpropagation algorithm
title_full_unstemmed Parallel implementation on improved error signal of backpropagation algorithm
title_sort parallel implementation on improved error signal of backpropagation algorithm
publisher Faculty of Computer Science and Information Technology, University of Malaya
publishDate 2002
url http://psasir.upm.edu.my/id/eprint/49478/1/Parallel%20implementation%20on%20improved%20error%20signal%20of%20backpropagation%20algorithm.pdf
http://psasir.upm.edu.my/id/eprint/49478/
http://e-journal.um.edu.my/publish/MJCS/142-157
_version_ 1643834378848043008
score 13.211869

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