<abstract xmlns="http://www.w3.org/1999/xhtml">

<p>This paper aims to investigate the technical and tactical evolution characteristics of college men’s soccer, and improve and optimize the simulated annealing algorithm by analyzing its operation process, so as to improve its operational efficiency and accuracy of results. The optimized model is used to analyze the data of the last 5 matches of men’s college soccer teams and study the offensive, defensive, and shooting characteristics of men’s college soccer teams. The results show that in terms of offensive techniques, the number of passes made by men’s college soccer teams is not small, among which 2589 passes were made in the 13th match, 1108 passes in the 14th match, and 938 passes in the 15th match, but the success rate is very low, and all of them are ineffective passes, which are not purposeful and offensive enough. The study in this paper summarizes the evolution characteristics of the technical tactics of college men’s soccer and improves the guidance for the improvement and development of college men’s soccer technical tactics.</p>
</abstract>

This paper aims to investigate the technical and tactical evolution characteristics of college men’s soccer, and improve and optimize the simulated annealing algorithm by analyzing its operation process, so as to improve its operational efficiency and accuracy of results. The optimized model is used to analyze the data of the last 5 matches of men’s college soccer teams and study the offensive, defensive, and shooting characteristics of men’s college soccer teams. The results show that in terms of offensive techniques, the number of passes made by men’s college soccer teams is not small, among which 2589 passes were made in the 13th match, 1108 passes in the 14th match, and 938 passes in the 15th match, but the success rate is very low, and all of them are ineffective passes, which are not purposeful and offensive enough. The study in this paper summarizes the evolution characteristics of the technical tactics of college men’s soccer and improves the guidance for the improvement and development of college men’s soccer technical tactics.

Analysis of the technical and tactical evolution characteristics of college men’s soccer based on simulated annealing algorithm

Applied Mathematics and Nonlinear Sciences

This work is licensed under the Creative Commons Attribution 4.0 International License.

This paper aims to investigate the technical and tactical evolution characteristics of college men’s soccer, and improve and optimize the simulated annealing...

Analysis of the technical and tactical evolution characteristics of college men’s soccer based on simulated annealing algorithm

Online veröffentlicht: 02. Okt. 2023

Seitenbereich: -

Eingereicht: 30. Dez. 2022

Akzeptiert: 12. Apr. 2023

DOI: https://doi.org/10.2478/amns.2023.2.00448

Schlüsselwörter
Simulated annealing algorithm, College men’s soccer, Operating efficiency, results Accuracy rate, Attack success rate

© 2023 Zhe Wang, published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.

Analysis of the technical and tactical evolution characteristics of college men’s soccer based on simulated annealing algorithm

Online veröffentlicht: 02. Okt. 2023

Seitenbereich: -

Eingereicht: 30. Dez. 2022

Akzeptiert: 12. Apr. 2023

DOI: https://doi.org/10.2478/amns.2023.2.00448

SchlüsselwörterSimulated annealing algorithm, College men’s soccer, Operating efficiency, results Accuracy rate, Attack success rate

© 2023 Zhe Wang, published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.

Schlüsselwörter
Simulated annealing algorithm, College men’s soccer, Operating efficiency, results Accuracy rate, Attack success rate