Research on grey forecast the results of men's 100ms of the Olympic Games by GM (1, 1) model combining C language programming

The authors consult a great deal of reference to collect data, compare results of different sports prediction methods and the limitations of various forecasting methods. From the perspective of special training school and taking men's 100ms of the Olympic Games as an example, the sample data is analyzed. This paper chooses the data fit for the gray prediction model to forecast the results by GM (1,1) based on log transformation. Handle, analyze and verify the data with written C language programming. Research shows that the model can predict accurately and apply to predicting the results of measuring sports events, with log transformation being used to forecast the results of measuring sports events for the first time.