원문정보
초록
영어
The best annual performances of the world women’s pentathlons during 2005~2013 are statistically collected in this article, and the prediction of the best performance of the world women’s heptathlon in 2013 is taken as the research object. According to the best annual performances of the world women’s heptathlons during 2005~2012, the sports performance prediction model composed of GM(1,1) grey prediction model and BP neural network prediction model in serial connection is established in this article, and this model is applied to predict the best annual performance of the world women’s heptathlon in 2013. Through the comparison of the actual value of the best annual performance of the world women’s heptathlon in 2013 and the predicted value of the model, the application of the grey BP neural network prediction model in sports performance prediction is researched and analyzed in this article. The research result shows that for the sports performance prediction problem, the grey BP neural network prediction model has the features of high prediction accuracy, simple application and strong generalization performance, and this model is also superior to single GM(1,1) grey prediction model and BP neural network model.
목차
1. Introduction
2. Introduction to Grey BP Neural Network Model
2.1. BP Neural Network Prediction Modeling Steps
2.2. GM(1,1) Grey Prediction Modeling Steps
2.3. Introduction to Grey BP Neural Network Model
3. Establishment of Grey BP Neural Network Prediction Model
3.1. Statistical Information of the Best Annual Performances of Women’s Heptathlon
3.2. Original Data Processing
3.3. Establishment of Training Samples
3.4. Establishment of BP Neural Network Prediction Model
4. Model Solution and Analysis
4.1. Training Performance Analysis of Grey BP Neural Network
4.2. Accuracy Test of Grey BP Neural Network
5. Conclusion
Reference