Resumen de Nonlinear Differential Equations in Computer-Aided Modeling of Big DataTechnology
Yinqing Li, Qing-Ming Cheng, Moaiad Ahmad Khder
If you use simple linear equation classification for big data analysis and classification modeling, the workefficiency is low, and the accuracy is also poor. For this reason, the thesis uses nonlinear differential equations tocarry out computer-aided unsteady aerodynamic modeling. Based on the perspective of differential equations, the big data classification technology is studied, and the classification model is established. The article constructs the differential classification mathematical model by establishing the differential equation withsecond-order delay and the constraint conditions of the model specification set. The article identifies andidentifies linear parameters such as characteristic time constants in the aerodynamic model. Research shows that the model can accurately predict unsteady aerodynamic characteristics under different maneuvers
