[Retracted] Application of Tactics in Technical and Tactical Analysis of Table Tennis Mixed Doubles Based on Artificial Intelligence Graph Theory Model

Abstract

Objective. To construct the graph theory model and grey correlation model of table tennis mixed doubles technology and tactics so as to provide a new research method for the analysis of table tennis mixed doubles technology and tactics. The method of graphic theory and video observation is used to study the top tactical indicators of the game, and the method of graphic theory and video observation is used to analyze the tactical data of men and women, which has a certain contribution to the world level of table tennis. The grey correlation analysis can be better applied to the technical and tactical analysis of table tennis mixed doubles. The analysis of the contribution rate of men and women in eight rounds shows that there is little difference in the net average score between male and female athletes, and female athletes are slightly higher than male athletes. The net average score of the serving round is much higher than that of the receiving round, which shows that the serving round has certain advantages for the server, and the winner is often better able to grasp the opportunity of the serving round and get higher scores. Male athletes should strengthen physical training and adapt to a higher level of confrontation.

[Retracted] Application of Multiple Regression Analysis Model in Table Tennis Competition

“…is study introduces the application of multiple regression analysis in table tennis mixed doubles. In subsequent studies, deep analysis and discussion of singles or doubles [20][21][22][23][24]. Besides, in practice, in commercial, construction, or other sports games, it can solve many practical problems.…”

Elite male table tennis matches diagnosis using SHAP and a hybrid LSTM–BPNN algorithm

“…In order to find the best algorithm for prediction accuracy, this study compares the performance of LSTM-BPNN with six classical artificial intelligence algorithms, which are BPNN, XGB, RF, ET, DT and KNN, in terms of the mean squared error (MSE), mean absolute error (MAE), root mean square error (RMSE), and coefficient of determination ( R 2 ), as shown in Eqs. (23)(24)(25)(26). Table 4 shows the testing results of LSTM-BPNN, BPNN, DTR, XGBR, RFR, KNN and ETR.…”

“…The most usual method or theory is the traditional three-phase evaluation theory 1 . Based on that, phase-based theories have been proposed to improve it, such as the four-phase evaluation theory 3 and the double three-phase evaluation theory 7 in the descriptive analysis range 14 .With the rapid development of deep learning and machine learning, many models and algorithms have been applied to study table tennis matches [15][16][17][18][19][20][21][22][23][24][25] . Researchers have built models and adjusted input values through simulations to achieve technical-tactical diagnosis 15,16,18,19,21 based on sports training and competition methods or theories.…”

“…With the rapid development of deep learning and machine learning, many models and algorithms have been applied to study table tennis matches [15][16][17][18][19][20][21][22][23][24][25] . Researchers have built models and adjusted input values through simulations to achieve technical-tactical diagnosis 15,16,18,19,21 based on sports training and competition methods or theories.…”

Retracted: Application of Tactics in Technical and Tactical Analysis of Table Tennis Mixed Doubles Based on Artificial Intelligence Graph Theory Model

“…This article has been retracted by Hindawi following an investigation undertaken by the publisher [ 1 ]. This investigation has uncovered evidence of one or more of the following indicators of systematic manipulation of the publication process: Discrepancies in scope Discrepancies in the description of the research reported Discrepancies between the availability of data and the research described Inappropriate citations Incoherent, meaningless and/or irrelevant content included in the article Peer-review manipulation …”