Mesopic Visual Performance of Cockpit’s Interior based on Artificial Neural Network
Journal Title: International Journal of Advanced Research in Artificial Intelligence(IJARAI) - Year 2012, Vol 1, Issue 6
Abstract
The ambient light of cockpit is usually under mesopic vision, and it’s mainly related to the cockpit’s interior. In this paper, a SB model is come up to simplify the relationship between the mesopic luminous efficiency and the different photometric and colorimetric variables in the cockpit. Self-Organizing Map (SOM) network is demonstrated classifying and selecting samples. A Back-Propagation (BP) network can automatically learn the relationship between material characteristics and mesopic luminous efficiency. Comparing with the MOVE model, SB model can quickly calculate the mesopic luminous efficiency with certain accuracy.
Authors and Affiliations
Dongdong WEI, Gang SUN
Keywords
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