Designing the network topology of feedforward neural network for scene illumination classification
Determining the topology of network as one of the objectives of ANN systems, is not following any certain rules or algorithms but still there are several hints which help us to restrict the neural network architecture set. Hence, the process of testing structures will be the solution of finding most...
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American Scientific Publishers
2017
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Online Access: | http://psasir.upm.edu.my/id/eprint/61307/1/Designing%20the%20network%20topology%20of%20feedforward%20neural%20network%20for%20scene%20illumination%20classification.pdf http://psasir.upm.edu.my/id/eprint/61307/ |
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my.upm.eprints.613072018-07-25T08:30:36Z http://psasir.upm.edu.my/id/eprint/61307/ Designing the network topology of feedforward neural network for scene illumination classification Hesamian, Mohammad Hesam Mashohor, Syamsiah Saripan, M. Iqbal Wan Adnan, Wan Azizun Determining the topology of network as one of the objectives of ANN systems, is not following any certain rules or algorithms but still there are several hints which help us to restrict the neural network architecture set. Hence, the process of testing structures will be the solution of finding most effective one among a limited set. This study aims to apply testing method on scene illumination classification system to find out the appropriate ANN structure. The results of this study apply on similar classification systems to avoid redoing the testing process. American Scientific Publishers 2017 Article PeerReviewed text en http://psasir.upm.edu.my/id/eprint/61307/1/Designing%20the%20network%20topology%20of%20feedforward%20neural%20network%20for%20scene%20illumination%20classification.pdf Hesamian, Mohammad Hesam and Mashohor, Syamsiah and Saripan, M. Iqbal and Wan Adnan, Wan Azizun (2017) Designing the network topology of feedforward neural network for scene illumination classification. Advanced Science Letters, 23 (6). 5269 - 5272. ISSN 1936-6612; ESSN: 1936-7317 10.1166/asl.2017.7356 |
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Determining the topology of network as one of the objectives of ANN systems, is not following any certain rules or algorithms but still there are several hints which help us to restrict the neural network architecture set. Hence, the process of testing structures will be the solution of finding most effective one among a limited set. This study aims to apply testing method on scene illumination classification system to find out the appropriate ANN structure. The results of this study apply on similar classification systems to avoid redoing the testing process. |
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Article |
author |
Hesamian, Mohammad Hesam Mashohor, Syamsiah Saripan, M. Iqbal Wan Adnan, Wan Azizun |
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Hesamian, Mohammad Hesam Mashohor, Syamsiah Saripan, M. Iqbal Wan Adnan, Wan Azizun Designing the network topology of feedforward neural network for scene illumination classification |
author_facet |
Hesamian, Mohammad Hesam Mashohor, Syamsiah Saripan, M. Iqbal Wan Adnan, Wan Azizun |
author_sort |
Hesamian, Mohammad Hesam |
title |
Designing the network topology of feedforward neural network for scene illumination classification |
title_short |
Designing the network topology of feedforward neural network for scene illumination classification |
title_full |
Designing the network topology of feedforward neural network for scene illumination classification |
title_fullStr |
Designing the network topology of feedforward neural network for scene illumination classification |
title_full_unstemmed |
Designing the network topology of feedforward neural network for scene illumination classification |
title_sort |
designing the network topology of feedforward neural network for scene illumination classification |
publisher |
American Scientific Publishers |
publishDate |
2017 |
url |
http://psasir.upm.edu.my/id/eprint/61307/1/Designing%20the%20network%20topology%20of%20feedforward%20neural%20network%20for%20scene%20illumination%20classification.pdf http://psasir.upm.edu.my/id/eprint/61307/ |
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