Application of Artificial Intelligence Technology in Basketball Games

Author:

Liu Zhenghao

Abstract

Abstract With the vigorous development of computer technology, artificial intelligence technology has also been greatly improved, and its application in sports competitions has become more and more widespread. The basketball game is a fierce rivalry under the team. In addition to testing the physical fitness of athletes, the ability to independently coordinate and plan athletes needs to be tested. Artificial intelligence has great application value in basketball games. Applying artificial intelligence technology to field decision-making in basketball games, real-time display of basketball game field data in real time, assisting coaches in field analysis and decision-making, can provide targeted training goals for daily training, and has strong application value. In this paper, an artificial intelligence assisting system for basketball game field decision-making is constructed to explore the application of artificial intelligence technology in basketball games. This paper tests the system proposed in this article through simulation experiments. The test results show that in the module test, the module error rate is 0.5%, the reliability is high, the module functions can be basically realized, the system responds quickly, and the security is high. The results of this paper will provide a good paradigm role for the application of artificial intelligence in sports competitions.

Publisher

IOP Publishing

Subject

General Medicine

Reference14 articles.

1. Application of Artificial Intelligence in Coronary Computed Tomography Angiography [J];Selvarajah;Current Cardiovascular Imaging Reports,2018

2. Benchmarking human epithelial type 2 interphase cellsclassification methods on a very large dataset[J];Hobson;Artificial Intelligence in Medicine,2015

3. Review and prospect of the standardization of acupuncture and moxibustion in China[J];Long;Zhongguo zhen jiu = Chinese acupuncture & moxibustion,2016

4. The 2014 General Video Game Playing Competition[J];Perez;IEEE Transactions on Computational Intelligence & Ai in Games,2015

5. Application of artificial intelligence using a convolutional neural network for detecting gastric cancer in endoscopic images[J];Hirasawa;Gastric Cancer Official Journal of the International Gastric Cancer Association & the Japanese Gastric Cancer Association,2018

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