| 008 |
|
230919s2023 ch ad e bm 000 0 chi d |
| 020 |
|
|q(精裝)
|
| 040 |
|
|aTMUE |bchi |cTMUE |dTIANMU|eCCR
|
| 041 |
|
|achi|bchi|beng
|
| 084 |
|
|a008.8 |b4412|2ncsclt
|
| 100 |
1
|
|a林瑾儀|e撰
|
| 245 |
10
|
|a利用長短期記憶神經網路建立槓鈴軌跡診斷模型 : |b以挺舉為例 = Establishment of barbell trajectory diagnosis model based on Long Short-Term Memory Neural Network : Clean and Jerk as an Example / |c林瑾儀撰.
|
| 246 |
11
|
|aEstablishment of barbell trajectory diagnosis model based on Long Short-Term Memory Neural Network- Clean and Jerk as an Example
|
| 260 |
|
|c民112
|
| 300 |
|
|a12, 51葉 : |b圖, 表 ; |c30公分
|
| 500 |
|
|a畢業學年度:111
|
| 500 |
|
|a指導教授 : 徐敬亭
|
| 500 |
|
|a英文題名 : Establishment of barbell trajectory diagnosis model based on Long Short-Term Memory Neural Network- Clean and Jerk as an Example.
|
| 502 |
|
|a碩士論文--臺北市立大學運動器材科技研究所,民112
|
| 504 |
|
|a含參考書目
|
| 653 |
0
|
|a長短期記憶神經網路
|
| 653 |
0
|
|a槓鈴軌跡
|
| 653 |
0
|
|a挺舉分期運動學參數
|
| 653 |
0
|
|along-short term memory neural network
|
| 653 |
0
|
|abarbell trajectory
|
| 653 |
0
|
|akinematic parameters of clean and jerk action phase
|
| 856 |
40
|
|uhttps://theses.utaipei.edu.tw/gs32/stdcdr_ut/record/#G0G11033017|z臺北市立大學博碩士全文影像系統
|
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