政大機構典藏-National Chengchi University Institutional Repository(NCCUR):Item 140.119/160242

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政大機構典藏 > 研究中心 > 人工智慧跨域研究中心 > 會議論文 > Item 140.119/160242

Please use this identifier to cite or link to this item: https://nccur.lib.nccu.edu.tw/handle/140.119/160242

Title:	Aging Decline in Basketball Career Trend Prediction Based on Machine Learning and LSTM Model
Authors:	陳昭伶 Chen, Lyn Chao-ling;Yao, Yi-chen;Wang, Jerry;Lai, Yi-cheng
Contributors:	AI中心
Date:	2025-10
Issue Date:	2025-11-24
Abstract:	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.
Relation:	Taiwan Academic Network Conference 2025 (TANET 2025), National Ilan University
Data Type:	conference
Appears in Collections:	[人工智慧跨域研究中心] 會議論文

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