Publication:
Determination of illuminance level using ANN model

dc.contributor.authorsTopuz, Vedat; Atis, Selcuk; Kocabey, Sureyya; Tektas, Mehmet
dc.contributor.editorApolloni, B
dc.contributor.editorHowlett, RJ
dc.contributor.editorJain, L
dc.date.accessioned2022-03-12T15:59:51Z
dc.date.accessioned2026-01-11T17:15:08Z
dc.date.available2022-03-12T15:59:51Z
dc.date.issued2007
dc.description.abstractIn this study, an illuminance determining method, using an artificial neural network (ANN) model, has been designed. The model was realized as an alternative to existing simulation programs to determine the illuminance of a working place. In the model, maintenance factor (MF), working plane (WP), suspension height (SH) of luminaries were selected as input parameters. average illuminance (Eav), minimum illuminance (Emin) and maximum illuminance (Emax) of working plane were selected as output parameters that are the effective parameters in establishment and maintenance of luminance. Comparison between the real time measurements, illuminance simulation program (ISP) and ANN model results has shown that designed ANN model is satisfied.
dc.identifier.doidoiWOS:000250338500095
dc.identifier.eissn1611-3349
dc.identifier.isbn978-3-540-74817-5
dc.identifier.issn0302-9743
dc.identifier.urihttps://hdl.handle.net/11424/224526
dc.identifier.wosWOS:000250338500095
dc.language.isoeng
dc.publisherSPRINGER-VERLAG BERLIN
dc.relation.ispartofKNOWLEDGE-BASED INTELLIGENT INFORMATION AND ENGINEERING SYSTEMS: KES 2007 - WIRN 2007, PT I, PROCEEDINGS
dc.relation.ispartofseriesLecture Notes in Computer Science
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.subjectilluminance level
dc.subjectANN model
dc.titleDetermination of illuminance level using ANN model
dc.typeconferenceObject
dspace.entity.typePublication
oaire.citation.endPage+
oaire.citation.startPage773
oaire.citation.titleKNOWLEDGE-BASED INTELLIGENT INFORMATION AND ENGINEERING SYSTEMS: KES 2007 - WIRN 2007, PT I, PROCEEDINGS
oaire.citation.volume4692

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