Number of images - 6
Tables and charts - 4
 Light & Engineering 26 (3)

Light & Engineering 26 (3)

Volume 26
Date of publication 09/28/2018
Pages 66-73


Evaluation Model of Lighting Environment for Subway Station Space Based on Back Propagation Neural Network. L&E 26 (3) 2018
Articles authors:
Wenhao DUN

On-the-job Doctorate, Lecturer. Graduated from the School of Civil Engineering and Architecture of Wuhan University of Technology. The research direction is lighting design for underground engineering. He is the Fellow of Indian Society of Lighting Engineers (ISLE), member of The Institution of Engineers (India), and member of IESNA

BP neural network is a new computer technology, which has natural advantages in the study of lighting environment evaluation model of subway station space. With the implementation of energy conservation and emission reduction, how to establish a suitable calculation model for the lighting environment of subway station space is also a hot research field. Firstly, the development trend of subway and the research status at home and abroad is introduced, then the specific application method of BP neural network is expounded, the evaluation criteria and evaluation model of space lighting environment of subway station is established. BP neural network is used to establish the corresponding mathematical model, through the weight calculation, the appropriate evaluation system is established, and finally the model is used to verify it.
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