| dc.contributor | AI中心 | |
| dc.creator (作者) | 陳昭伶 | |
| dc.creator (作者) | Chen, Lyn Chao-ling;Yao, Yi-chen;Wang, Jerry;Lai, Yi-cheng | |
| dc.date (日期) | 2025-10 | |
| dc.date.accessioned | 2025-11-24 | - |
| dc.date.available | 2025-11-24 | - |
| dc.date.issued (上傳時間) | 2025-11-24 | - |
| dc.identifier.uri (URI) | https://nccur.lib.nccu.edu.tw/handle/140.119/160242 | - |
| dc.description.abstract (摘要) | The topic of aging decline on performance of NBA players has been discussed in this study. The autoencoder with K-means clustering machine learning method was adopted to career trend classification of NBA players, and the LSTM deep learning method was adopted in performance prediction of each NBA player. The dataset was collected from the basketball game data of veteran NBA players. The contribution of the work performed better than the other methods with generalization ability for evaluating various types of NBA career trend, and can be applied in different types of sports in the field of sport analytics. | |
| dc.format.extent | 100 bytes | - |
| dc.format.mimetype | text/html | - |
| dc.relation (關聯) | Taiwan Academic Network Conference 2025 (TANET 2025), National Ilan University | |
| dc.title (題名) | Aging Decline in Basketball Career Trend Prediction Based on Machine Learning and LSTM Model | |
| dc.type (資料類型) | conference | |
