Performance of various training algorithms on scene illumination classification

The increasing number of training algorithms along with their convincing results will make this question that which algorithm will be more efficient. This study aims to perform some widespread tests on some well-known training algorithms (Levenberg-Marquardt, Resilient back propagation and Scaled co...

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Main Authors: Hesamian, Mohammad Hesam, Mashohor, Syamsiah, Saripan, M. Iqbal, Wan Adnan, Wan Azizun, Hesamian, B., Hooshyari, M. M.
Format: Conference or Workshop Item
Language:English
Published: IEEE 2015
Online Access:http://psasir.upm.edu.my/id/eprint/47714/1/Performance%20of%20various%20training%20algorithms%20on%20scene%20illumination%20classification.pdf
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author Hesamian, Mohammad Hesam
Mashohor, Syamsiah
Saripan, M. Iqbal
Wan Adnan, Wan Azizun
Hesamian, B.
Hooshyari, M. M.
author_facet Hesamian, Mohammad Hesam
Mashohor, Syamsiah
Saripan, M. Iqbal
Wan Adnan, Wan Azizun
Hesamian, B.
Hooshyari, M. M.
author_sort Hesamian, Mohammad Hesam
collection UPM
description The increasing number of training algorithms along with their convincing results will make this question that which algorithm will be more efficient. This study aims to perform some widespread tests on some well-known training algorithms (Levenberg-Marquardt, Resilient back propagation and Scaled conjugate gradient) to evaluate their performance for scene illumination classification. The results presented by this research can provide a reliable guide line for choosing the most appropriate training algorithm depends on the problem specification. The results of this study select the LM training method with the accuracy of 94.41% as the most accurate and RP as the most quick method with response time of 0.426 s.
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spelling upm.eprints-477142016-07-14T08:52:32Z http://psasir.upm.edu.my/id/eprint/47714/ Performance of various training algorithms on scene illumination classification Hesamian, Mohammad Hesam Mashohor, Syamsiah Saripan, M. Iqbal Wan Adnan, Wan Azizun Hesamian, B. Hooshyari, M. M. The increasing number of training algorithms along with their convincing results will make this question that which algorithm will be more efficient. This study aims to perform some widespread tests on some well-known training algorithms (Levenberg-Marquardt, Resilient back propagation and Scaled conjugate gradient) to evaluate their performance for scene illumination classification. The results presented by this research can provide a reliable guide line for choosing the most appropriate training algorithm depends on the problem specification. The results of this study select the LM training method with the accuracy of 94.41% as the most accurate and RP as the most quick method with response time of 0.426 s. IEEE 2015 Conference or Workshop Item PeerReviewed application/pdf en http://psasir.upm.edu.my/id/eprint/47714/1/Performance%20of%20various%20training%20algorithms%20on%20scene%20illumination%20classification.pdf Hesamian, Mohammad Hesam and Mashohor, Syamsiah and Saripan, M. Iqbal and Wan Adnan, Wan Azizun and Hesamian, B. and Hooshyari, M. M. (2015) Performance of various training algorithms on scene illumination classification. In: 2015 IEEE Student Conference on Research and Development (SCOReD), 13-14 Dec. 2015, Berjaya Times Square Hotel, Kuala Lumpur, Malaysia. (pp. 66-71). 10.1109/SCORED.2015.7449421
spellingShingle Hesamian, Mohammad Hesam
Mashohor, Syamsiah
Saripan, M. Iqbal
Wan Adnan, Wan Azizun
Hesamian, B.
Hooshyari, M. M.
Performance of various training algorithms on scene illumination classification
title Performance of various training algorithms on scene illumination classification
title_full Performance of various training algorithms on scene illumination classification
title_fullStr Performance of various training algorithms on scene illumination classification
title_full_unstemmed Performance of various training algorithms on scene illumination classification
title_short Performance of various training algorithms on scene illumination classification
title_sort performance of various training algorithms on scene illumination classification
url http://psasir.upm.edu.my/id/eprint/47714/1/Performance%20of%20various%20training%20algorithms%20on%20scene%20illumination%20classification.pdf
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