Liu Qilong. Design of Sports Athlete Training Analysis System Based on Fuzzy Neural Network. Dynamic Systems and Applications 29 (2020) No. 5, 1764 – 1772

https://doi.org/10.46719/dsa20202957

ABSTRACT.
A fuzzy neural method is analyzing and verifiable physical game analysis and sports human activities. The athlete has Track and Field Track Events, Track sprintsstable and more reasonable at all times, and Effective verification of verification conditions. A wide variety of these essential observations integrates e sets and rules and definitions of collaborative work. These methods allow you to create a class of articles based on fake and substantial and mixed justification for their moderate features. The particular motivation behind driving this white data is to propose a fundamental approach to surveying to prepare for quality. The inspiration for this research is the number of interdisciplinary game plans by combining past work in man-made thinking in sports, cushioned region advance, and its application in sports especially quality preparation. The idea considers the data collected from the sensors fitted with the machines and the standards and criteria recommended for proper implementation. One official goal is to fuse the calibration method into a fuzzy based designed structure and provide a customized analysis of the implementation process.

Keywords: Athlete, Fuzzy Neural Network, sports sector, Field Track Events