Automatic Detection Method of Technical and Tactical Indicators for Table Tennis Based on Trajectory Prediction Using Compensation Fuzzy Neural Network

In the system design of table tennis robot, the important influencing factors of automatic detection of technical and tactical indicators for table tennis are table tennis rotation state, trajectory, and rebound force. But the general prediction algorithm cannot process the time series data and give...

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Detalles Bibliográficos
Autor principal: Zhang, Jin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2021
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8410409/
https://www.ncbi.nlm.nih.gov/pubmed/34484318
http://dx.doi.org/10.1155/2021/3155357

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8410409/
https://www.ncbi.nlm.nih.gov/pubmed/34484318
http://dx.doi.org/10.1155/2021/3155357

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