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Prediction of Football Matches’ Results Using Neural Networks

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Proceedings of the International Conference on Advanced Intelligent Systems and Informatics 2018 (AISI 2018)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 845))

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Abstract

In this paper, learning with a teacher artificial neural network to predict the results of football matches is presented. This type of networks requires training via examples, and when the training is complete, the network can be tested to check the results of new examples. In this application, the training examples are the results of previous matches which the network will use to predict the results of new ones.

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Author information

Authors and Affiliations

  1. Department of Computer and Communications Engineering, AUST, Achrafieh, Lebanon

    Roger Achkar & Ibraheem Mansour

  2. Department of Mechatronics Engineering, AUST, Achrafieh, Lebanon

    Michel Owayjan

  3. Department of Mathematics, Faculty of Sciences and Issam Fares Faculty of Technology, University of Balamand, El-koura, Lebanon

    Karim Hitti

Authors
  1. Roger Achkar
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  2. Ibraheem Mansour
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  3. Michel Owayjan
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  4. Karim Hitti
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Corresponding author

Correspondence to Roger Achkar .

Editor information

Editors and Affiliations

  1. Information Technology Department, Faculty of Computers and Information, Cairo University, Giza, Egypt

    Aboul Ella Hassanien

  2. Ain Shams University, Cairo, Egypt

    Mohamed F. Tolba

  3. Dubai International Academic City, The British University in Dubai, Dubai, United Arab Emirates

    Khaled Shaalan

  4. Faculty of Computers and Information, Benha University, Benha, Egypt

    Ahmad Taher Azar

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Achkar, R., Mansour, I., Owayjan, M., Hitti, K. (2019). Prediction of Football Matches’ Results Using Neural Networks. In: Hassanien, A., Tolba, M., Shaalan, K., Azar, A. (eds) Proceedings of the International Conference on Advanced Intelligent Systems and Informatics 2018. AISI 2018. Advances in Intelligent Systems and Computing, vol 845. Springer, Cham. https://doi.org/10.1007/978-3-319-99010-1_15

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