Evaluation Model of Lighting Environment for Subway Station Space Based on Back Propagation Neural Network

Abstract

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.