2. Model assumptions: Make ideal assumptions about the model you want to build, such as idealizing some problems that may not have a significant impact on the results, but need to spend a lot of time to consider.
3, symbol description, some parameters in the model you want to build are replaced by symbols. Dot symbol: a whole object that expresses a certain meaning with individual symbols; Linear symbols: generally use color, texture and spatial layout to express a certain meaning; Facebook symbol: used to represent the phenomenon of facial distribution in a certain range.
4. Model building, introducing the principle and steps of model building and the final model result, which is generally an evaluation function.
5. Using the established model to solve the problems raised by the topic needs to be realized through the program. Finally, the result of this problem is given.
6. After solving the problems raised by the topic, you can put forward the shortcomings of your model again, put forward the improvement scheme and improve the whole model.
7. References. Finally, write down references, including materials found on the Internet and other people's papers or books.