Application and Analysis of Improved Ant Colony Algorithm in Physical Fitness Test

2021 ◽  
Vol 7 (5) ◽  
pp. 5009-5017
Author(s):  
Lili Zhang

Objectives: The ant colony algorithm is an algorithm that the Italian scholar sums up by studying the living habits of the creatures, and algorithm model established by inspiration according to ants finding things in the shortest path. Methods: In this paper, through the establishment of algorithm model based on an ant colony algorithm, all kinds of problems in physical fitness test were solved, which makes the physical test more efficient and convenient. Results: Through the testing and use of the algorithm model, it is found that the ant colony algorithm established in this paper can meet the requirements, can plan the information of physical fitness test as a whole, Conclusion: and help to deal with the problems of physical tests, so it is a good performance algorithm.

2021 ◽  
Vol 7 (5) ◽  
pp. 1991-1999
Author(s):  
Dong Chen

Objectives: With the continuous development of quality education in China, higher education pays more and more attention to the development of physical education. However, in the process of China’s development, there is a lack of corresponding evaluation system for physical fitness test results. Methods: Therefore, this paper proposes the analysis and research application of fitness test performance management based on ant colony algorithm. Firstly, it expounds the development status of physical education performance management. Results: Then, aiming at the corresponding shortcomings, this paper puts forward the application analysis of the fitness test performance management platform based on the mixed mode of cloud theory, and carries out a series of comprehensive tests on the system. Conclusion: According to the performance test of all aspects of the database, the test results show that the system is feasible.


2020 ◽  
Vol 57 (1) ◽  
pp. 010603
Author(s):  
聂清彬 Nie Qingbin ◽  
潘峰 Pan Feng ◽  
吴嘉诚 Wu Jiacheng ◽  
曹耀钦 Cao Yaoqin

Author(s):  
Mr. Abhinav Kushwaha ◽  
Dr. Dharmender Kumar ◽  
Dr. Meenakshi

Objective of study was to assess data the six factors composite physical fitness test on school going boy’s students. Methods for the study, 100 boys were randomly selected from govt. school of Delhi govt. at age ranging from 15 to 18 years.  The study was conducted by using six factors composite physical test. Descriptive statistics was employed to find out the results of the study.  Physical fitness was measured with the best timing was rated in seconds. Results the result depicted in Descriptive Statistics of boys at school level” indicates the mean, confidence interval, skewness, kurtosis, range and standard deviation. The lower bound shows the true significance and significance correction and through Q-Q plot the (graphical presentation) to values in normal distribution to evident in found the selected physical fitness test for 100 school going boys were Mean- 40.3072/39.0291, Std. Deviation-2.51278/2.78882, Std. Error Mean- 2.5128/2.7888 respectively. That paired correlation is .56. There is an average value of test score and Significant at 0.05 level of significance. The Table no.-5 to indicate paired differences of variable being tested and order the subtraction was found out. The standard error 0.24799 and computing both the test statistic and the upper and lower bounds of 95%confidence interval. The depicts value of the paired sample t- test of boys which was found to be statistically significantly at 0.05 level of significance. Objective of study was to assess data the six factors composite physical fitness test on school going boy’s students. Methods for the study, 100 boys were randomly selected from govt. school of Delhi govt. at age ranging from 15 to 18 years.  The study was conducted by using six factors composite physical test. Descriptive statistics was employed to find out the results of the study.  Physical fitness was measured with the best timing was rated in seconds. Results the result depicted in Descriptive Statistics of boys at school level” indicates the mean, confidence interval, skewness, kurtosis, range and standard deviation. The lower bound shows the true significance and significance correction and through Q-Q plot the (graphical presentation) to values in normal distribution to evident in found the selected physical fitness test for 100 school going boys were Mean- 40.3072/39.0291, Std. Deviation-2.51278/2.78882, Std. Error Mean- 2.5128/2.7888 respectively. That paired correlation is .56. There is an average value of test score and Significant at 0.05 level of significance. The Table no.-5 to indicate paired differences of variable being tested and order the subtraction was found out. The standard error 0.24799 and computing both the test statistic and the upper and lower bounds of 95%confidence interval. The depicts value of the paired sample t- test of boys which was found to be statistically significantly at 0.05 level of significance.


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