Title :
Appliance of neural networks in Basketball - Basketball board for Basketball Referees
Author :
B. Markoski;P. Pecev;L. Ratgeber;M. Ivkovic;Z. Ivankovic
Author_Institution :
University of Novi Sad, Technical Faculty “
Abstract :
What is presented in this paper is a solution that bears large applicable values depending on implementation and realization. The paper describes the methods and the developed software which, based on the action and the movement of the ball, using the neural network, determines the movement of a basketball referee on the court, in order to gain the best view of the action. The solution is developed in Microsoft Visual Studio 2010, written in the programming language C#, reffering to AForge .NET Framework for the support in the aspects of configuring, training and usage of neural networks. AForge .NET Framework is published with LGPL v3 licence.
Keywords :
"Training","Games","Artificial neural networks","Biological neural networks","Home appliances","Neurons"
Conference_Titel :
Computational Intelligence and Informatics (CINTI), 2011 IEEE 12th International Symposium on
Print_ISBN :
978-1-4577-0044-6
DOI :
10.1109/CINTI.2011.6108486