Experimental Study of Visible Light Localization Based on Machine Learning and Multiple Photo Diodes

In view of the limitations of the traditional Search for excellent algorithm in the research of System for locating visible light resources, a research scheme of localization experimental study based on machine learning together with multiple photo diodes was proposed. Firstly, the influencing factors is accurately located through signal processing theories, and the indicators is reasonably divided to reduce interference, and the machine learning together with multiple photo diodes is used to construct a research scheme for localization experimental study. Experimental results show that under certain evaluation criteria, the proposed scheme is superior to the traditional Search for excellent algorithm in terms of research accuracy and processing time of influencing factors of localization experimental study, and has obvious advantages. The research of localization experimental study plays an extremely important role in visible light, which can accurately predict and optimize the growth characteristics and product generation of visible light. However, the traditional Search for excellent algorithm has some limitations in solving the problem of positioning experiment simulation, especially when dealing with complex problems. In this paper, this paper proposes a research scheme of localization experimental study based on machine learning together with multiple photo diodes to better solve this problem. The scheme accurately locates the influencing factors through signal processing theories, so as to determine the division of indicators, and uses the machine learning together with multiple photo diodes to construct the scheme. Experimental results show that under certain evaluation criteria, the accuracy and speed of the scheme is significantly improved for different problems, and it has better performance. Therefore, the simulation scheme based on machine learning together with multiple photo diodes in the research of System for locating visible light resources can better solve the limitations of traditional Search for excellent algorithm and improve the simulation accuracy and efficiency.