Illumination Calculation Method Based on Adam Algorithm and Neural Network
TANG Ye
LU Weizhong
CHEN Cheng
HUANG Hongmei
Abstract：Aiming to the phenomenon that the calculation of utilization factor is complicated and not accurate in traditional illumination calculation, a neural network model optimized by Adam algorithm and consisting of a fixed network and a variable network in parallel is designed and realized to fit the coefficient calculation. The utilization factor when the floor reflectance is 0.2 and the utilization factor correction factor when floor reflectance is not 0.2 are calculated separately. Replacing the traditional look-up process with trained model can reduce calculation error, and improve the engineering practicability. The experimental results show that the maximum error rate is about 2％, far less than the requirements in the standard.
Keywords：Adam algorithmneural networkillumination calculationutilization factor
Publication Date：2019-03-02
Online Publishing Date：2025-08-15(First online date of this platform, not the publication date of the document)
Pages：5( 50-54 )