Using Convolutional Neural Network and Candlestick Representation to Predict Sports Match Outcomes

Using Convolutional Neural Network and Candlestick Representation to Predict Sports Match Outcomes

The interdisciplinary nature of sports and the presence of various systemic and non-systemic factors introduce challenges in predicting sports match outcomes using a single disciplinary approach. In contrast to previous studies that use sports performance metrics and statistical models, this study i...

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Bibliographic Details
Main Author: Yu-Chia Hsu
Format: Article
Language:English
Published: MDPI AG 2021-07-01
Series:Applied Sciences
Subjects:
convolutional neural network (CNN)
time series
pattern recognition
betting odds
Gramian angular field (GAF)
National Football League (NFL)
Online Access:https://www.mdpi.com/2076-3417/11/14/6594

Internet

https://www.mdpi.com/2076-3417/11/14/6594

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