Asset Details
MbrlCatalogueTitleDetail
Do you wish to reserve the book?
Technical and tactical diagnosis model of table tennis matches based on BP neural network
by
Hu, Mengyue
, Huang, Wenwen
, Zeng, Yuxuan
, Lu, Miaomiao
, Xiao, Yi
in
Accuracy
/ Artificial neural network
/ Athletes
/ Diagnostic model
/ Markov analysis
/ Medical diagnosis
/ Medicine
/ Medicine & Public Health
/ Methods
/ Neural networks
/ Orthopedics
/ Probability
/ Regression analysis
/ Rehabilitation Medicine
/ Sports Medicine
/ Table tennis
/ Techniques and tactics
/ Tennis
/ Tournaments & championships
/ Winning probability
2021
Hey, we have placed the reservation for you!
By the way, why not check out events that you can attend while you pick your title.
You are currently in the queue to collect this book. You will be notified once it is your turn to collect the book.
Oops! Something went wrong.
Looks like we were not able to place the reservation. Kindly try again later.
Are you sure you want to remove the book from the shelf?
Technical and tactical diagnosis model of table tennis matches based on BP neural network
by
Hu, Mengyue
, Huang, Wenwen
, Zeng, Yuxuan
, Lu, Miaomiao
, Xiao, Yi
in
Accuracy
/ Artificial neural network
/ Athletes
/ Diagnostic model
/ Markov analysis
/ Medical diagnosis
/ Medicine
/ Medicine & Public Health
/ Methods
/ Neural networks
/ Orthopedics
/ Probability
/ Regression analysis
/ Rehabilitation Medicine
/ Sports Medicine
/ Table tennis
/ Techniques and tactics
/ Tennis
/ Tournaments & championships
/ Winning probability
2021
Oops! Something went wrong.
While trying to remove the title from your shelf something went wrong :( Kindly try again later!
Do you wish to request the book?
Technical and tactical diagnosis model of table tennis matches based on BP neural network
by
Hu, Mengyue
, Huang, Wenwen
, Zeng, Yuxuan
, Lu, Miaomiao
, Xiao, Yi
in
Accuracy
/ Artificial neural network
/ Athletes
/ Diagnostic model
/ Markov analysis
/ Medical diagnosis
/ Medicine
/ Medicine & Public Health
/ Methods
/ Neural networks
/ Orthopedics
/ Probability
/ Regression analysis
/ Rehabilitation Medicine
/ Sports Medicine
/ Table tennis
/ Techniques and tactics
/ Tennis
/ Tournaments & championships
/ Winning probability
2021
Please be aware that the book you have requested cannot be checked out. If you would like to checkout this book, you can reserve another copy
We have requested the book for you!
Your request is successful and it will be processed during the Library working hours. Please check the status of your request in My Requests.
Oops! Something went wrong.
Looks like we were not able to place your request. Kindly try again later.
Technical and tactical diagnosis model of table tennis matches based on BP neural network
Journal Article
Technical and tactical diagnosis model of table tennis matches based on BP neural network
2021
Request Book From Autostore
and Choose the Collection Method
Overview
Background
The technical and tactical diagnosis of table tennis is extremely important in the preparation for competition which is complicated by an apparent nonlinear relationship between athletes’ performance and their sports quality. The neural network model provides a high nonlinear dynamic processing ability and fitting accuracy that may assist in the diagnosis of table tennis players’ technical and tactical skill. The main purpose of this study was to establish a technical and tactical diagnosis model of table tennis matches based on a neural network to analyze the influence of athletes’ techniques and tactics on the competition results.
Methods
A three-layer Back Propagation (BP) neural network model for table tennis match diagnosis were established. A Double Three-Phase evaluation method produced 30 indices that were closely related to winning table tennis matches. A data sample of 100 table tennis matches was used to establish the diagnostic model (
n
= 70) and evaluate the predictive ability of the model (
n
= 30).
Results
The technical and tactical diagnosis model of table tennis matches based on BP neural network had a high-level of prediction accuracy (up to 99.997%) and highly efficient in fitting (
R
2
= 0.99). Specifically, the technical and tactical diagnosis results indicated that the scoring rate of the fourth stroke of Harimoto had the greatest influence on the winning probability.
Conclusion
The technical and tactical diagnosis model of table tennis matches based on BP neural network was highly accurate and efficiently fit. It appears that the use of the model can calculate athletes’ technical and tactical indices and their influence on the probability of winning table tennis matches. This, in turn, can provide a valuable tool for formulating player’s targeted training plans.
This website uses cookies to ensure you get the best experience on our website.