Empirical AI Simulation Algorithm Research on the Impact of Floating Population Status on Sentencing

This paper conducts the empirical AI simulation algorithm research on the impact of floating population status on sentencing. Stable, startling advances in computer hardware have led to a massive supply of powerful computers, data collection devices, and storage media. With this advancement, the analysis of the large-scale AI simulation becomes real and possible. This research study considers the scenario of the impact of floating population status on sentencing. Firstly, a novel remote sensing model is designed for the estimation of the population status with the integration of the novel structure data pattern. Then, a novel AI simulation tool with the SQL is designed to treat the situation of the complex data. Further, the application scenario is designed with the numerical simulation. The results prove that the designed model is efficient.