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

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