Aging Decline in Basketball Career Trend Prediction Based on Machine Learning and LSTM Model

The topic of ag ing 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 predicti on 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 evaluat ing various types of NBA career t rend, and can be applied in different types of s p o r ts in the field of sport analytics . In the field of sports analytics, m achine learning methods are being widely used to analyze player behavior and performance prediction for the strong capabilities in pattern recognition and career trend prediction, and the topic of aging decline on the performance of basketball game players were discussed in the study.