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Math. Comput. Appl. 2017, 22(4), 43; doi:10.3390/mca22040043

A Comparative Study of Neural Networks and ANFIS for Forecasting Attendance Rate of Soccer Games

1
Department of Business Administration, Adiyaman University, 02040 Adiyaman, Turkey
2
Department of Industrial Engineering, Cukurova University, 01330 Adana, Turkey
*
Author to whom correspondence should be addressed.
Received: 17 October 2017 / Revised: 30 October 2017 / Accepted: 30 October 2017 / Published: 1 November 2017
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Abstract

The main purpose of this study was to develop and apply a neural network (NN) approach and an adaptive neuro-fuzzy inference system (ANFIS) model for forecasting the attendance rates at soccer games. The models were designed based on the characteristics of the problem. Past real data was used. Training data was used for training the models, and the testing data was used for evaluating the performance of the forecasting models. The obtained forecasting results were compared to the actual data and to each other. To evaluate the performance of the models, two statistical indicators, Mean Absolute Deviation (MAD) and mean absolute percent error (MAPE), were used. Based on the results, the proposed neural network approach and the ANFIS model were shown to be effective in forecasting attendance at soccer games. The neural network approach performed better than the ANFIS model. The main contribution of this study is to introduce two effective techniques for estimating attendance at sports games. This is the first attempt to use an ANFIS model for that purpose. View Full-Text
Keywords: neural networks; sports attendance; occupancy rate; sports demand forecasting; sports demand rate; ANFIS neural networks; sports attendance; occupancy rate; sports demand forecasting; sports demand rate; ANFIS
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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MDPI and ACS Style

Şahin, M.; Erol, R. A Comparative Study of Neural Networks and ANFIS for Forecasting Attendance Rate of Soccer Games. Math. Comput. Appl. 2017, 22, 43.

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