1, optimize the model. The optimization model includes four elements: decision variables, objective functions, constraints and solving methods;

2. Differential equation model. Differential equation model is generally suitable for dynamic continuous model. When describing the evolution process of some characteristics of real objects with time or space, analyzing its changing law, predicting its future behavior and studying its control means, it is usually necessary to establish a dynamic model of the objects.

3. Probability statistical model. Probabilistic statistical models include forecasting model, econometric model and Markov chain model.