A study of acceleration techniques in training neural networks - local adaptive techniques / Norpah Mahat

Till today, it has been a great challenge in optimizing the training time in neural networks. This paper presents Local Adaptive Techniques and Dynamic Adaptation Methods as acceleration techniques for neural networks. The first technique is based on weight-specific information such as the temporal...

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Main Author: Mahat, Norpah
Format: Article
Language:English
Published: Universiti Teknologi MARA, Pulau Pinang & Pusat Penerbitan Universiti (UPENA) 2011
Subjects:
Online Access:https://ir.uitm.edu.my/id/eprint/8852/1/AJ_NORPAH%20MAHAT%20ESTEEM%2011.pdf
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author Mahat, Norpah
author_facet Mahat, Norpah
author_sort Mahat, Norpah
collection UITM
description Till today, it has been a great challenge in optimizing the training time in neural networks. This paper presents Local Adaptive Techniques and Dynamic Adaptation Methods as acceleration techniques for neural networks. The first technique is based on weight-specific information such as the temporal behavior of the partial derivative of the current weight. The second technique is dynamically adapts the momentum factor, a, and learning rate, ᶯ with respect to the iteration number or gradient. Some of the most popular learning algorithms are described and discussed. Simulations on a real world application problem are conducted to evaluate and compare the performance of a local adaptive strategies with various popular training algorithms include global adaptive strategies. These techniques have been compared and measured in terms of gradient and error function evaluations, and percentage of success.
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spelling oai:ir.uitm.edu.my:88522017-03-14T04:42:42Z https://ir.uitm.edu.my/id/eprint/8852/ A study of acceleration techniques in training neural networks - local adaptive techniques / Norpah Mahat esteem Mahat, Norpah Electronic Computers. Computer Science Till today, it has been a great challenge in optimizing the training time in neural networks. This paper presents Local Adaptive Techniques and Dynamic Adaptation Methods as acceleration techniques for neural networks. The first technique is based on weight-specific information such as the temporal behavior of the partial derivative of the current weight. The second technique is dynamically adapts the momentum factor, a, and learning rate, ᶯ with respect to the iteration number or gradient. Some of the most popular learning algorithms are described and discussed. Simulations on a real world application problem are conducted to evaluate and compare the performance of a local adaptive strategies with various popular training algorithms include global adaptive strategies. These techniques have been compared and measured in terms of gradient and error function evaluations, and percentage of success. Universiti Teknologi MARA, Pulau Pinang & Pusat Penerbitan Universiti (UPENA) 2011 Article PeerReviewed text en https://ir.uitm.edu.my/id/eprint/8852/1/AJ_NORPAH%20MAHAT%20ESTEEM%2011.pdf A study of acceleration techniques in training neural networks - local adaptive techniques / Norpah Mahat. (2011) Esteem Academic Journal <https://ir.uitm.edu.my/view/publication/Esteem_Academic_Journal/>, 7 (2). pp. 35-51. ISSN 1675-7939
spellingShingle Electronic Computers. Computer Science
Mahat, Norpah
A study of acceleration techniques in training neural networks - local adaptive techniques / Norpah Mahat
title A study of acceleration techniques in training neural networks - local adaptive techniques / Norpah Mahat
title_full A study of acceleration techniques in training neural networks - local adaptive techniques / Norpah Mahat
title_fullStr A study of acceleration techniques in training neural networks - local adaptive techniques / Norpah Mahat
title_full_unstemmed A study of acceleration techniques in training neural networks - local adaptive techniques / Norpah Mahat
title_short A study of acceleration techniques in training neural networks - local adaptive techniques / Norpah Mahat
title_sort study of acceleration techniques in training neural networks local adaptive techniques norpah mahat
topic Electronic Computers. Computer Science
url https://ir.uitm.edu.my/id/eprint/8852/1/AJ_NORPAH%20MAHAT%20ESTEEM%2011.pdf
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