Utilization Factor Calculation Method Based on Adam Algorithm and Neural Network

  • Lu Weizhong
  • Tang YeEmail author
  • Chen Cheng
  • Huang Hongmei
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 1060)


A neural network model consisting of a fixed network and a flexible network and optimized by Adam algorithm is designed to calculate the utilization factor when the floor reflectance ratio is 0.2 and the correction factor when it is not 0.2. Comparing with traditional illumination calculation methods, the proposed method can reduce the computational time and complexity, while reducing the calculation error and improving accuracy, resulting in a higher applicability in practice.


Adam algorithm Neural network Illumination calculation Utilization factor 



This work was supported by National Natural Science Foundation (no. 61672371), Natural Science Research Project of Jiangsu Provincial Department of Education (no. 08KJD510007), and Foundation of Key Laboratory (no. SZS201609) in Science and Technology Development Project of Suzhou.


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Copyright information

© Springer Nature Singapore Pte Ltd. 2020

Authors and Affiliations

  • Lu Weizhong
    • 1
    • 2
    • 3
  • Tang Ye
    • 1
    • 2
    • 3
    Email author
  • Chen Cheng
    • 1
    • 2
    • 3
  • Huang Hongmei
    • 1
    • 2
    • 3
  1. 1.The School of Electronic and Information Engineering, Suzhou University of Science and TechnologySuzhouChina
  2. 2.Jiangsu Key Laboratory of Intelligent Building Energy EfficiencySuzhouChina
  3. 3.Virtual Reality Key Laboratory of Intelligent Interaction and Application Technology of SuzhouSuzhouChina

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