臺灣博碩士論文加值系統

[摘要尚未公開]

[摘要尚未公開]

Recommendation Letter from the Thesis Advisor
Thesis/Dissertation Oral Defense Committee Certification
Acknowledgments iii
Chinese Abstract iv
Abstract v
Chapter I Introduction 1
1.1 Research Background 1
1.2 Motivation 3
1.3 Research Question and Research Area 5
Chapter II Literature Review 7
2.1 Marathon Split Timer and Pacing Analysis 7
2.2 Classification for Marathon Performances 12
2.3 Artificial Neural Networks in Sports 13
Chapter III Methodology 15
3.1 Data Analysis Process 16
3.2 Source Information 18
3.3 Analysis of running speed 20
3.4 Artificial Neural Networks 21
Chapter IV Results 22
4.1 Pacing Results 22
4.2 Runner Classification Results 33
4.3 Discussion 54
Chapter V Conclusions and Future Studies 62
5.1 Conclusion 62
5.2 Research Limitations 62
5.3 Research Contributions 63
5.4 Future Studies 63
References 64
Appendix I New Taipei City Wan Jin Shi Marathon Field Studies 70
Appendix II Track Services Questionnaire 73

 
List of Tables
Table 1. Review of Pacing Analysis References 10
Table 2. Related Taiwan Thesis Studies of ANN in Sport 13
Table 3. Raw Data Attributes 18
Table 4. 2014-2016WJS Marathon Finishers 23
Table 5. 2014 WJS Marathon Pacing Segments 24
Table 6. 2015 WJS Marathon Pacing Segments 27
Table 7. 2016 WJS Marathon Pacing Segments 30
Table 8. Artificial Neural Networks Result of 2014-2016 WJS Marathon Pacing Classification 34
Table 9. General Information of WJS Track Services Survey 55
Table 10. Result of WJS Track Services Survey – Refreshment Station 56
Table 11. Result of WJS Track Services Survey – Sponging Station 57
Table 12. Result of WJS Track Services Survey – Medical Station 58
Table 13. Result of WJS Track Services Survey – Toilet 59
Table 14. Result of Track Services Survey – Course Direction 60
Table 15. Result of Track Services Survey – Cheerleaders 61
 
List of Figures
Figure 1. Research Framework 15
Figure 2. Research Process 16
Figure 3. Data Analyzing Process Flow for This Study 17
Figure 4. Concept of Data Format Transform 20
Figure 5. 2014 WJS Marathon Men Pacing Pattern 25
Figure 6. 2014 WJS Marathon Women Pacing Pattern 26
Figure 7. 2015 WJS Marathon Men Pacing Pattern 28
Figure 8. 2015 WJS Marathon Women Pacing Pattern 29
Figure 9. 2016 WJS Marathon Men Pacing Pattern 31
Figure 10. 2016 WJS Marathon Women Pacing Pattern 32
Figure 11. 2014 WJS Men Marathon Finishers Training and Validation/Testing (80% & 20%) Error Histogram with 20 bins 36
Figure 12. 2014 WJS Men Marathon Finishers Artificial Neural Networks Training Regression Plot (80% & 20%) 36
Figure 13. 2014 WJS Women Marathon Finishers Training and Validation/Testing (80% & 20%) Error Histogram with 20 bins 37
Figure 14. 2014 WJS Women Marathon Finishers Artificial Neural Networks Training Regression Plot (80% & 20%) 37
Figure 15. 2014 WJS Men Marathon Finishers Training and Validation/Testing (70% & 30%) Error Histogram with 20 bins 38
Figure 16. 2014 WJS Men Marathon Finishers Artificial Neural Networks Training Regression Plot (70% & 30%) 38
Figure 17. 2014 WJS Women Marathon Finishers Training and Validation/Testing (70% & 30%) Error Histogram with 20 bins 39
Figure 18. 2014 WJS Women Marathon Finishers Artificial Neural Networks Training Regression Plot (70% & 30%) 39
Figure 19. 2014 WJS Men Marathon Finishers Training and Validation/Testing (60% & 40%) Error Histogram with 20 bins 40
Figure 20. 2014 WJS Men Marathon Finishers Artificial Neural Networks Training Regression Plot (60% & 40%) 40
Figure 21. 2014 WJS Women Marathon Finishers Training and Validation/Testing (60% & 40%) Error Histogram with 20 bins 41
Figure 22. 2014 WJS Women Marathon Finishers Artificial Neural Networks Training Regression Plot (60% & 40%) 41
Figure 23. 2015 WJS Men Marathon Finishers Training and Validation/Testing (80% & 20%) Error Histogram with 20 bins 42
Figure 24. 2015 WJS Men Marathon Finishers Artificial Neural Networks Training Regression Plot (80% & 20%) 42
Figure 25. 2015 WJS Women Marathon Finishers Training and Validation/Testing (80% & 20%) Error Histogram with 20 bins 43
Figure 26. 2015 WJS Women Marathon Finishers Artificial Neural Networks Training Regression Plot (80% & 20%) 43
Figure 27. 2015 WJS Men Marathon Finishers Training and Validation/Testing (70% & 30%) Error Histogram with 20 bins 44
Figure 28. 2015 WJS Men Marathon Finishers Artificial Neural Networks Training Regression Plot (70% & 30%) 44
Figure 29. 2015 WJS Women Marathon Finishers Training and Validation/Testing (70% & 30%) Error Histogram with 20 bins 45
Figure 30. 2015 WJS Women Marathon Finishers Artificial Neural Networks Training Regression Plot (70% & 30%) 45
Figure 31. 2015 WJS Men Marathon Finishers Training and Validation/Testing (60% & 40%) Error Histogram with 20 bins 46
Figure 32. 2015 WJS Men Marathon Finishers Artificial Neural Networks Training Regression Plot (60% & 40%) 46
Figure 33. 2015 WJS Women Marathon Finishers Training and Validation/Testing (60% & 40%) Error Histogram with 20 bins 47
Figure 34. 2015 WJS Women Marathon Finishers Artificial Neural Networks Training Regression Plot (60% & 40%) 47
Figure 35. 2016 WJS Men Marathon Finishers Training and Validation/Testing (80% & 20%) Error Histogram with 20 bins 48
Figure 36. 2016 WJS Men Marathon Finishers Artificial Neural Networks Training Regression Plot (80% & 20%) 48
Figure 37. 2016 WJS Women Marathon Finishers Training and Validation/Testing (80% & 20%) Error Histogram with 20 bins 49
Figure 38. 2016 WJS Women Marathon Finishers Artificial Neural Networks Training Regression Plot (80% & 20%) 49
Figure 39. 2016 WJS Men Marathon Finishers Training and Validation/Testing (70% & 30%) Error Histogram with 20 bins 50
Figure 40. 2016 WJS Men Marathon Finishers Artificial Neural Networks Training Regression Plot (70% & 30%) 50
Figure 41. 2016 WJS Women Marathon Finishers Training and Validation/Testing (70% & 30%) Error Histogram with 20 bins 51
Figure 42. 2016 WJS Women Marathon Finishers Artificial Neural Networks Training Regression Plot (70% & 30%) 51
Figure 43. 2016 WJS Men Marathon Finishers Training and Validation/Testing (60% & 40%) Error Histogram with 20 bins 52
Figure 44. 2016 WJS Men Marathon Finishers Artificial Neural Networks Training Regression Plot (60% & 40%) 52
Figure 45. 2016 WJS Women Marathon Finishers Training and Validation/Testing (60% & 40%) Error Histogram with 20 bins 53
Figure 46. 2016 WJS Women Marathon Finishers Artificial Neural Networks Training Regression Plot (60% & 40%) 53
Figure 47. WJS Marathon Elevation Profile 54
Figure 48. 2016 WJS Track Service of Refreshment Station 56
Figure 49. 2016 WJS Track Service of Sponge Station 57
Figure 50. 2016 WJS Track Service of Medical Station 58
Figure 51. 2016 WJS Track Service of Toilet 59
Figure 52. 2016 WJS Track Service of Course Direction 60
Figure 53. 2016 WJS Track Service of Cheerleaders 61

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