MATEC Web Conf.
Volume 189, 20182018 2nd International Conference on Material Engineering and Advanced Manufacturing Technology (MEAMT 2018)
|Number of page(s)||6|
|Section||Cloud & Network|
|Published online||10 August 2018|
E-sports analysis data acquisition algorithm based on convolutional neural network
Department of Software Engineering, Jinling Institute of Technology, 211100, Nanjing, China
2 Secretary major, Guangxi University of Finance and Economics, 530003, Nanning, China
Corresponding author : email@example.com
At present, e-sports has become one of the most important industries. How to analyze e-sports data has become an urgent problem to be solved. Currently, some hot competition items do not provide data interfaces, so that the training set required for data analysis cannot be directly and accurately acquired. Data can only be obtained by watching video games in person. This method is obviously inefficient and the accuracy cannot be guaranteed. This paper proposes a data acquisition algorithm based on convolutional neural network algorithm. It also introduces transfer learning, improves the sample training method and data acquisition method, and finally solves the problem of data acquisition. According to the test, this algorithm achieves about 91% accuracy.
© The Authors, published by EDP Sciences, 2018
This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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