A Combined Neural Network Approach to Soccer Player Prediction

Authors: Wenbin Zhang, Hantian Wu, Jian Tang

Abstract:

An artificial neural network is a mathematical model inspired by biological neural networks. There are several kinds of neural networks and they are widely used in many areas, such as: prediction, detection, and classification. Meanwhile, in day to day life, people always have to make many difficult decisions. For example, the coach of a soccer club has to decide which offensive player to be selected to play in a certain game. This work describes a novel Neural Network using a combination of the General Regression Neural Network and the Probabilistic Neural Networks to help a soccer coach make an informed decision.

Keywords: General Regression Neural Network, Probabilistic Neural Networks, Neural function.

Digital Object Identifier (DOI): doi.org/10.5281/zenodo.1100484

References:

[1] D.F.Specht: Probabilistic Neural Networks. In: Neural Network, Vol. 3, pp. 109-118 (1990)
[2] Rani Pagariya, Mahip Bartere: Review Paper on Artificial Neural Networks. In: International Journal of Advanced Research in Computer Science, Volume 4 (2013)
[3] Jolly, K.G, Ravindran, K.P, Vijayakumar, R.: Intelligent decision making in multi-agent robot soccer system through compounded artificial neural networks. In: Robotics and Autonomous Systems, Volume 55, Issue 7 (2007)
[4] Heuer Andreas, Rubner Oliver: Towards the perfect prediction of soccer matches. In: Physics.data-an (2012)
[5] Ballan. L, Bazzica. A, Bertini, M: Deep networks for audio event classification in soccer videos. In: IEEE International Conference on Multimedia and Expo (2009)
[6] Shaffer, R. E.; Rose-Pehrsson, S. L.: Improved Probabilistic Neural Network Algorithm for Chemical Sensor Array. In: Pattern Recognition. Anal. Chem., 71, 4263-4271 (1999)
[7] D.F.Specht: Probabilistic neural networks for classification, or associative memory. In: IEEE international conference on neural networks, San Diego, vol 1, pp 525535 (1988)
[8] D.F.Specht, Shapiro PD: Generalization accuracy of probabilistic neural networks compared with back-propagation networks. In: International joint conference on neural networks Seattle, vol 1, pp 887892 (1991)
[9] Cacoullos, T.: Estimation of a multivariate density. In: Annuals of the Institute of Statistical Mathematics, 18(2): 179-189 (1966)
[10] D.F.Specht: Enhancements to probabilistic neural networks. In: International joint conference on neural networks Baltimore, vol 1, pp 761768 (1992)
[11] Adeli H, Panakkat A: A probabilistic neural network for earthquake magnitude prediction. In: Neural Network 22(7): 10181024 (2009)
[12] J. Tetteh, A. Beezer, J. Orchard, C. Tortoe: Application of Radial Basis Function Network with a Gaussian Function of Artificial Neural Networks in Osmo-dehydration of Plant Materials. In: Journal of Artificial Intelligence, Volume 4 (2011)
[13] D.F.Specht: A general Regression Neural Network. In: IEEE Transactions on Neural Networks, Vol 2, pp 568576 (1991)
[14] Marchctte, D., Priebe, C.: An application of neural networks to a data fusion problem. In: TriServiceData Fusion Symposium 1, 23tl-235 (1987)
[15] Cichocki A and Zdunek R: Multilayer nonnegative matrix factorization using projected gradient approaches. In: International Journal of Neural Systems 17(6): 431446 (2007)
[16] Mikhail Kanevski: Machine Learning Algorithms: Theory, Applications and Software Tools (2009)
[17] Oscar TP.: Predictive model for survival and growth of Salmonella Typhimurium DT104 on chicken skin during temperature abuse. In: Poultry science, 72:30414 (2009)
[18] I-Cheng Yeh, Kuan-Cheng Lin: Supervised Learning Probabilistic Neural Networks. In: Neural Processing Letters, Volume 34, Issue 2 (2011)
[19] Yangpo Song, Xiaoqi Peng: Modeling method using combined artificial neural network. In: International Journal of Computational Intelligence and Applications, Volume 10, Issue 2 (2011)
[20] Raghu P.P, Poongodi R, Yegnanarayana B: A combined neural network approach for texture classification. In: Neural Networks, Volume 8, Issue 6 (1995)
[21] Chang Wei-Der: Recurrent neural network modeling combined with bilinear model structure. In: Neural Computing and Applications, Volume 24, Issue 3 (2014)
[22] Juergen Perl: Neural Network-Based Process Analysis in Sport Gaming and Simulations: Concepts, Methodologies, Tools and Applications (2011)
[23] The official website for European football http://www.uefa.com/uefachampionsleague/history/index.html