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http://dx.doi.org/10.5370/JEET.2015.10.4.1822

Approximate and Three-Dimensional Modeling of Brightness Levels in Interior Spaces by Using Artificial Neural Networks  

Sahin, Mustafa (Department of Electrical & Electronics Engineering, Technology Faculty, Afyon Kocatepe University)
Oguz, Yuksel (Department of Electrical Education, Faculty of Technical Education, Marmara University)
Buyuktumturk, Fuat (Department of Electrical & Electronics Engineering, Faculty of Engineering, Erzincan University)
Publication Information
Journal of Electrical Engineering and Technology / v.10, no.4, 2015 , pp. 1822-1829 More about this Journal
Abstract
In this study, artificial neural networks were used to determine the intensity of brightness in interior spaces. The illumination elements to illuminate indoor spaces were considered, not individually, but as a system. So, during the planned maintenance periods of an illumination system, after its design and installation, simple brightness level measurements must be taken. For a three-dimensional evaluation of the brightness level in indoor spaces in a speedy and accurate manner, the obtained brightness level measurement results and artificial neural network model were used. Upon estimation of the most suitable brightness level for indoor spaces by using the artificial neutral network model, the energy demands required by the illumination elements decreased. Consequently, in this study, with estimations of brightness levels, the extent to which the artificial neutral networks become successful was observed and more correct results have been obtained in terms of both economy and usage.
Keywords
Illumination systems; Artificial neural networks; Estimation of brightness level; Three-dimensional modeling;
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