Dingyu Tang
Institute of Physical Education, Zhaotong University, Zhaotong, 657000, China
Gang Ma
Institute of Physical Education, Zhaotong University, Zhaotong, 657000, China
Jun Guo
Institute of Physical Education, Zhaotong University, Zhaotong, 657000, China
ABSTRACT
The hit rate of basketball shooting is an important indicator to evaluate the athlete's athletic ability. There are many factors affecting hit rate of basketball shooting including the shot location, shot angle, shot rate, the hoop position, gravity, air resistance, athlete's psychological quality and other factors. This article studies a basketball shooting mathematical model with an ideal state from a non-technical point of view, uses Monte Carlo algorithm to implement hollow shooting conditions of the model in Matlab software and provides an application platform for the application of Monte Carlo. In this study, Monte Carlo Algorithm based on Matlab Simulation get a better application in an ideal study of hollow basketball shooting providing a new way of thinking for the study of basketball hit rate.
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How to cite this article
Dingyu Tang, Gang Ma and Jun Guo, 2013. Applications of Monte Carlo Algorithm in Research on the Basketball Hit Rate
of Ideal Hollow Shooting Based on Matlab Simulation. Information Technology Journal, 12: 3315-3319.
DOI: 10.3923/itj.2013.3315.3319
URL: https://scialert.net/abstract/?doi=itj.2013.3315.3319
DOI: 10.3923/itj.2013.3315.3319
URL: https://scialert.net/abstract/?doi=itj.2013.3315.3319
REFERENCES
- Grimaldi, D., S. Rapuano and L. De Vito, 2007. An automatic digital modulation classifier for measurement on telecommunication networks. IEEE Trans. Instrum. Measur., 56: 1711-1720.
CrossRefDirect Link - Avci, E. and D. Avci, 2008. The performance comparison of discrete wavelet neural network and discrete wavelet adaptive network based fuzzy inference system for digital modulation recognition. Expert Syst. Appl., 35: 90-101.
CrossRefDirect Link - Zhu, H.Y. and L. Lei, 2010. Fault diagnosis of node in wireless sensor network based on the interval-numbers rough neural network. Proceedings of the 2nd IEEE International Conference on Information Management and Engineering, April 16-18, 2010, Chengdu, China, pp: 535-538.
CrossRef - Zhang, B. and Y. Feng, 2013. The special quality evaluation of the triple jump and the differential equation model of long jump mechanics based on gray correlation analysis. Int. J. Applied Math. Stat., 40: 136-143.
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