원문정보
초록
영어
Due to the rapid development of computer technology, the combination between college sports and the computer technology becomes a trend. In the national physical standards, sprint is a very important sport. Sprint has attracted the majority of physical education teachers and college students. In order to exercise better and more scientific, predicting the results of sprint becomes a meaningful job. Grey prediction model is one of the commonly prediction model. In the traditional Grey prediction model, we face many problems, such as the boundary value, background value problem etc. In order to solve the above problem, we propose an improved Grey prediction model. This model is ant colony-Grey prediction model (Ant-Grey prediction model). The prediction model overcomes these problems. And then we apply this model to predict the results of the sprint for the college students. In addition, we use the computer simulation.
목차
1. Introduction
2.GM(1,1) Model
3. The defects and optimization of GM(1,1) model
3.1. The Model Boundary Value Problem
3.2. The Background Value Problem of the Model
3.3. The Least Square Parameter Estimation Problems
3.4. GM(1,1) Model Optimization Strategy
4. GM(1,1) Model Parameter Optimization based on the Ant Colony Algorithm
5. Computer Simulation
5.2. Indexes Fitting
5.3. Performance Prediction
6. Conclusion
References