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Tables and charts - 2
Light & Engineering 26 (2)

Light & Engineering 26 (2)

Volume 26
Date of publication 07/01/2018
Pages 45-51


Optimization of Classroom Illumination System Based on Neural Network Algorithm . L&E 26 (2) 2018
Articles authors:
Hongwu ZENG

Lecturer of the School of Medical Information, Medical University of Chongqing. Graduated from Chongqing University in 2017 and majored in computer science. His research interests include data mining and Internet of things

The optimization of classroom illumination system based on neural network algorithm was studied in order to optimize the classroom illumination system, which can effectively relieve the students С visual fatigue and promote the learning efficiency. The neural network algorithm was used. First of all, on the basis of objective evaluation of classroom illumination system, the design algorithm of university illumination based on neural network was designed creatively. Secondly, the lower-machine program of intelligent Illumination system in university was designed, and the algorithm and model of the design at last were tested. Finally, the design algorithm and the model were tested. The results show that the design can play a good role in optimizing the classroom illumination system.
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