Chong Jia, Haiyang Zhou, and  Yusong Teng. Athlete’s Performance Prediction Based on Adaptive Neuro-Fuzzy System. Dynamic Systems and Applications 29 (2020) No. 5, 1782 – 1791

https://doi.org/10.46719/dsa20202959

Abstract.
Accurate college athletic performance is based on the Adaptive Neuro-Fuzzy System (NFS) to predict a predictive model of college athletic performance intended rendering to the exact characteristics of college athletic presentation. First, the present research-grade of college athletic presentation exhibiting and predictions are examined, and current college athletic presentation estimate model deficiencies are initiated. Later, these ANFS is used college athletic performance historical data are also used in practice, and hidden rules are found.The existing method does not provide the best performance as a result of predication. Need for the best prediction system. Finally concluded Adaptive Neuro-Fuzzy System (ANFS). ANFS Current College Sports Performance Prediction Model Presentation has excellent simulation results. Sample results are designed to show the reliability and accuracy of college sports performance predictions used in a science training program.

Key words: Neural Fuzzy, Student’s performance prediction,Athlete, Forecast Model, Essential Sports.