Designing the network topology of feedforward neural network for scene illumination classification

Hesamian, MH; Mashohor, S; Saripan, MI; Adnan, WAW

Designing the network topology of feedforward neural network for scene illumination classification

Hesamian, MH Mashohor, S Saripan, MI Adnan, WAW

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Publisher:: American Scientific Publishers
Publication Type:: Journal Article
Citation:: Advanced Science Letters, 2017, 23, (6), pp. 5269-5272
Issue Date:: 2017-01-01

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Field	Value	Language
dc.contributor.author	Hesamian, MH
dc.contributor.author	Mashohor, S
dc.contributor.author	Saripan, MI
dc.contributor.author	Adnan, WAW
dc.date.accessioned	2022-11-03T02:37:55Z
dc.date.available	2022-11-03T02:37:55Z
dc.date.issued	2017-01-01
dc.identifier.citation	Advanced Science Letters, 2017, 23, (6), pp. 5269-5272
dc.identifier.issn	1936-6612
dc.identifier.issn	1936-7317
dc.identifier.uri	http://hdl.handle.net/10453/163174
dc.description.abstract	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.
dc.language	en
dc.publisher	American Scientific Publishers
dc.relation.ispartof	Advanced Science Letters
dc.relation.isbasedon	10.1166/asl.2017.7356
dc.rights	info:eu-repo/semantics/closedAccess
dc.subject.classification	Nuclear & Particles Physics
dc.title	Designing the network topology of feedforward neural network for scene illumination classification
dc.type	Journal Article
utslib.citation.volume	23
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
utslib.copyright.status	closed_access	*
dc.date.updated	2022-11-03T02:37:53Z
pubs.issue	6
pubs.publication-status	Published
pubs.volume	23
utslib.citation.issue	6

Abstract:

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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http://hdl.handle.net/10453/163174