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논문 기본 정보

자료유형
학술저널
저자정보
Mustafa Şahin (Erzincan University) Yüksel Oğuz (Afyon Kocatepe University) Fuat Büyüktümtürk (Marmara University)
저널정보
대한전기학회 Journal of Electrical Engineering & Technology Journal of Electrical Engineering & Technology Vol.10 No.4
발행연도
2015.7
수록면
1,822 - 1,829 (8page)

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초록· 키워드

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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 threedimensional 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.

목차

Abstract
1. Introduction
2. Illumination Systems
3. ANNs
4. Brightness Level Distribution and Discussion
5. Conclusions
References

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