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Source publication
The traditional basketball teaching mode cannot meet the needs of students for the basic cooperation of basketball tactics. Therefore, a basic cooperation teaching system of basketball tactics based on artificial neural network is studied and designed. The system has a professional basketball game video tactical learning module. The events in the b...
Citations
... Tis article has been retracted by Hindawi following an investigation undertaken by the publisher [1]. Tis investigation has uncovered evidence of one or more of the following indicators of systematic manipulation of the publication process: ...
... There are three main steps in BPNN modeling [21,31]: (1) initialization of the network and setting of network parameters, (2) normalization of the original data, dividing the training and test sets of the data, and back-propagation of the associated error calculation and adjustment of thresholds and weights, and (3) inverse normalization of the data to obtain the predicted values. The basic structure of a BPNN is shown in Fig. 1. ...
Background
This study aimed to construct a more accurate model to forecast the incidence of hand, foot, and mouth disease (HFMD) in mainland China from January 2008 to December 2019 and to provide a reference for the surveillance and early warning of HFMD.
Methods
We collected data on the incidence of HFMD in mainland China between January 2008 and December 2019. The SARIMA, SARIMA-BPNN, and SARIMA-PSO-BPNN hybrid models were used to predict the incidence of HFMD. The prediction performance was compared using the mean absolute error(MAE), mean squared error(MSE), root mean square error (RMSE), mean absolute percentage error (MAPE), and correlation analysis.
Results
The incidence of HFMD in mainland China from January 2008 to December 2019 showed fluctuating downward trends with clear seasonality and periodicity. The optimal SARIMA model was SARIMA(1,0,1)(2,1,2)[12], with Akaike information criterion (AIC) and Bayesian Schwarz information criterion (BIC) values of this model were 638.72, 661.02, respectively. The optimal SARIMA-BPNN hybrid model was a 3-layer BPNN neural network with nodes of 1, 10, and 1 in the input, hidden, and output layers, and the R-squared, MAE, and RMSE values were 0.78, 3.30, and 4.15, respectively.
For the optimal SARIMA-PSO-BPNN hybrid model, the number of particles is 10, the acceleration coefficients c1 and c2 are both 1, the inertia weight is 1, the probability of change is 0.95, and the values of R-squared, MAE, and RMSE are 0.86, 2.89, and 3.57, respectively.
Conclusions
Compared with the SARIMA and SARIMA-BPNN hybrid models, the SARIMA-PSO-BPNN model can effectively forecast the change in observed HFMD incidence, which can serve as a reference for the prevention and control of HFMD.
... As a result of the system designed for the basketball class, college students were able to improve their skill proficiency and effectiveness of learning (Guo and Niu, 2021). The game training module in the teaching system has a very positive effect on improving the basic tactical coordination of students' basketball skills (Lin and Liu, 2021). Online tests can effectively test the mastery of basketball rules by students through the online test module (Li and Li, 2021). ...
Introduction
Based on the expansion of flow constructs based on the TAM model, this study assesses the impact of metaverse technology in college basketball courses.
Methods
We surveyed 849 effective samples using an online questionnaire survey, verified our analysis using structural equation modeling, and examined the moderating effect of gender on the path relationship.
Results
The perceived ease of use, the flow experience, and the perceived usefulness of the product are important predictors of behavioral intention. According to the study, perceived usefulness, and flow experience influence attitudes significantly. A moderating effect of gender is observed on perceived ease of use on the path to behavioral intention, and the results extend the theoretical research on the use of metaverse technology for basketball instruction and TAM.
Discussion
A metaverse-based learning experience can enhance the flow experience of basketball learning, thus increasing the willingness to use and the effectiveness of learning.
To address the problems of poor performance evaluation and performance management of college curriculum reform, the performance evaluation method of college curriculum reform using artificial neural networks is proposed. First, the performance evaluation index system of college curriculum reform using artificial neural network technology is constructed. Second, the performance evaluation algorithm of college curriculum reform is improved, and the performance evaluation process of college curriculum reform is simplified. The experiment proves that the performance evaluation method of college curriculum reform using artificial neural networks has higher practicality than the traditional method and fully meets the research requirements.
KeywordsArtificial neural networkCollege curriculumReform in educationPerformance evaluation
