Publication:
Determination of illuminance level using ANN model

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dc.contributor.authorATİŞ, SELÇUK
dc.contributor.authorTOPUZ, VEDAT
dc.contributor.authorsTopuz V., Atis S., Kocabey S., Tektas M.
dc.date.accessioned2022-03-15T01:56:00Z
dc.date.accessioned2026-01-11T07:05:25Z
dc.date.available2022-03-15T01:56:00Z
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. © Springer-Verlag Berlin Heidelberg 2007.
dc.identifier.doi10.1007/978-3-540-74819-9_95
dc.identifier.isbn9783540748175
dc.identifier.issn3029743
dc.identifier.urihttps://hdl.handle.net/11424/246814
dc.language.isoeng
dc.publisherSpringer Verlag
dc.relation.ispartofLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.subjectANN model
dc.subjectIlluminance level
dc.titleDetermination of illuminance level using ANN model
dc.typeconferenceObject
dspace.entity.typePublication
oaire.citation.endPage780
oaire.citation.issuePART 1
oaire.citation.startPage773
oaire.citation.titleLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
oaire.citation.volume4692 LNAI

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