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An Intelligent Model to Predict the Results of the World League Volleyball Using Neural Networks

Document Type : Research Paper

Authors

1 Associate Professor of Sport Management, Islamic Azad University, Isfahan (Khorasgan) Branch, Isfahan

2 Msc. of Sport Management, Islamic Azad University, Isfahan (Khorasgan) Branch, Isfahan

3 Ph. D Student in Electrical Engineering, Iran University of Science and Technology

Abstract

The aim of this study is to provide a smart way to predict the results of games played volleyball on the basis of the previous statistics. The population in this study includes all sports and sample in this research World League volleyball championship in 2014 Poland. The current study was a descriptive, analytical and descriptive part, game statistics, including the number of waterfalls, the number Defences on tour, the number of managed services, number of errors, time, and number of sets won and lost points are obtained from the official website of FIVB; and in the analysis, Neural Network Toolbox for MATLAB data analysis and a prediction model for which it was submitted. Graphs of simulation results show that the neural network layer with 8 inputs and 1 output-coupled neurons in the hidden layer transfer function tansigmoid with 10 first and second transfer function in the hidden layer neurons purelin 8, with 93.10% forecast in the training phase, 90% forecast in the verification and 82.61% correct prediction in the test phase, a model for predicting outcomes in the World League volleyball tournament is. Therefore, this model can be used with very high precision. By doing research like this study can be very convenient, accurate and expert teams was held.

Keywords

References
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Sport Management Studies
Volume 9, Issue 44
November and December 2018
Pages 17-36
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History
  • Receive Date: 10 November 2015
  • Revise Date: 13 December 2016
  • Accept Date: 01 January 2017
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