Prediction of College Students’ Sports Performance Based on Improved BP Neural Network

Tang, Hengyao; Jiang, Guosong; Wang, Qingdong

doi:10.1155/2022/5872384

Cited by 4 publications

(5 citation statements)

References 24 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The student's sports performance data enable the establishment of an ideal college student's sports performance prediction model by optimizing the choice of weights and thresholds in the neural network using the DE algorithm. According to Tang, et. al., (2022), the DE algorithm model may increase the reliability of prediction findings, enhance the accuracy of college students' sports performance prediction, and give useful information for sports training.…”

Section: Student Supportmentioning

confidence: 99%

Special Program in Sports: Its Impact in Athlete’s Performance in Gov. Felicisimo T. San Luis Integrated Senior High School”

CARIZA V. ISLA

2024

IJRP

View full text Add to dashboard Cite

This study examines the impact of a Special Program in Sports on athlete performance at Gov. Felicisimo T. San Luis Integrated Senior High School. The research aims to evaluate the effectiveness of the program in enhancing athlete performance and to identify the factors contributing to its success. The study employs a survey to gather data from a sample of student-athletes enrolled in the program. The survey investigates demographic information, sports participation levels, and perceived impact on performance. The findings indicate that the implementation of the Special Program in Sports correlates positively with the performance level of the respondents. Most of the athletes reached the division level of competition, while some excelled further, participating in regional and national level competitions. Additionally, the study reveals that the admission and retention policies were effectively observed, providing a structured framework for the program. However, certain areas for improvement were identified. The study recommends enhancing access to the program through increased awareness and recruitment efforts, as well as improving sports facilities, resources, and coaching staff. Furthermore, expanding competitive opportunities, implementing continues monitoring an evaluation systems, fostering collaboarations, and providing academic support are suggested to optimize the program's effectiveness and sustainability. This research contributes valuable insights to the field of sport education and program development, specially in the context of Gov. Felicisimo T. San Luis Integrated Senior High School. The findings and recommendations can guide educators, administrators, and policymakers in enhancing sports programs, ultimately promoting athlete development and success.The SPS has been around for a while, but there aren't many recorded evaluations of how well it's being used or how it affects student-athletes' performance in amateur sports events in accordance with DepEd requirements. Assessing student-athlete performance based on their actual performance in amateur tournaments can offer insightful information for enhancing both the performance of the individual athlete and the whole school sport program. Limited research reveals that a number of variables, including coaching techniques and abilities as well as technical, tactical, physiological, psychological, and social characteristics of players, affect performance outcomes.Therefore, the purpose of this study is to investigate how athletes perform in amateur events as a result of the Special Program in Sports (SPS). Additionally, it aims to evaluate Gov. Felicisimo T. San Luis Integrated Senior High School's application of the SPS and identify the student-athletes highest level of competitiveness. The study intends to shed important light on the efficacy of the SPS and its implications for student-athlete achievement in amateur sporting events by examining these factors.

show abstract

Section: Student Supportmentioning

confidence: 99%

Special Program in Sports: Its Impact in Athlete’s Performance in Gov. Felicisimo T. San Luis Integrated Senior High School”

CARIZA V. ISLA

2024

IJRP

View full text Add to dashboard Cite

show abstract

“…In this paper, the error reverse propagation neural network prediction model, which is proposed by Zhang (2019), is used. This model is based on machine learning algorithm, and includes input layer, implied layer, output layer and transfer function between layers.…”

Section: Neural Network With Reverse Propagation Of Errormentioning

confidence: 99%

Prediction of Physical Ability of College Students Based on the BP Neural Network

Zhang

2024

IES

View full text Add to dashboard Cite

The prediction of physical ability is a key point to understand the physical training effect of college students. This paper uses the error Back Propagation neural network algorithms to investigate the college students’ physical test results, and predicts the future trends of the results. The findings indicate that, in future ten years, the physical test grades of both men and women will slip to a certain extent. It implies that the indicators of speed, power, endurance level and physical strength of college students keep going down. This phenomenon should be paid attention to. It is necessary to strength the exercise consciousness, and stimulates the enthusiasm of students’ exercise.

show abstract

“…Literature [1] expounds the in uence of extracurricular sports on academic achievements. References [2,3], respectively, use particle swarm optimization and PSO-SVM learning methods to predict sports performance. Literature [4] proposes a sports performance prediction algorithm combining gray prediction features with CNNs and optimizes the sports competition performance prediction model of extreme learning machine based on the Drosophila algorithm in literature [5], so that the performance prediction can achieve higher prediction accuracy and computational e ciency.…”

Section: Introductionmentioning

confidence: 99%

Performance Prediction and Action Performance Analysis of Sports Competitive Events Based on Deep Learning

Zhang

Jian-qiang

2022

Mathematical Problems in Engineering

View full text Add to dashboard Cite

Physical education performance in primary and secondary school classroom education seems mediocre, and many students treat it as a minor subject. With parents and schools paying attention to physical education, physical education performance is very important now, whether in primary and secondary schools or universities. Nowadays, college students have less and less physical exercise, and sports achievements are one of the index achievements for evaluating scholarships. Many teachers also arrange appropriate physical training reasonably in order to improve students’ sports achievements. Forecasting sports achievements is the key to making scientific sports training plans. According to the study of college students’ group sports achievements, we can predict students’ follow-up learning achievements, collect, sort out, and study students’ sports achievements information regularly, so as to better guarantee the quality of college sports teaching. This paper compares and analyzes the sports achievements of various schools from the aspects of strength, endurance, and sensitivity. At the same time, it compares and analyzes the sports achievements of major universities. Finally, from the perspective of physical education, this paper analyzes and studies the situation of individual schools and then finds out the pedagogical factors that make them achieve excellent physical education results and puts forward the teaching strategies to improve physical education results, as well as the positive influence of physical education teachers on teaching, school physical education results, and students’ physical quality. When teaching courses, use big data mining technology to find qualified students to study the actual teaching needs, recommend an efficient learning curriculum system to students with reference to research conclusions, and give rich material resources. Teachers can teach students in accordance with their aptitude with reference to their usual learning situation, instead of “one size fits all.”

show abstract

Prediction of College Students’ Sports Performance Based on Improved BP Neural Network

Cited by 4 publications

References 24 publications

Special Program in Sports: Its Impact in Athlete’s Performance in Gov. Felicisimo T. San Luis Integrated Senior High School”

Special Program in Sports: Its Impact in Athlete’s Performance in Gov. Felicisimo T. San Luis Integrated Senior High School”

Prediction of Physical Ability of College Students Based on the BP Neural Network

Performance Prediction and Action Performance Analysis of Sports Competitive Events Based on Deep Learning

Contact Info

Product

Resources

About