AWERProcedia Information Technology & Computer Science Vol 04 (2013) 349-355 3 rd World Conference on Innovation and Computer Sciences 2013 An Artificial Neural Network Model for The Aŵpere’s Law Öŵer Faruk AlĐiŶ *, Dept. of Electronics and Computer Science, Faculty of Technical Education, Firat University, Elazig 23119,Turkey. Deniz Korkmaz, Dept. of Electronics and Computer Science, Faculty of Technical Education, Firat University, Elazig 23119,Turkey. Sami Ekici, Dept. of Energy Systems Engineering, Faculty of Technology, Firat University, Elazig 23119, Turkey. Aďdulkadir ŞeŶgür, Dept. of Electrical and Electronics Engineering, Faculty of Technology, Firat University, Elazig 23119,Turkey. Suggested Citation: Alcin F., Ö., Korkmaz D., Ekici S. & ŞeŶgür A. AŶ artiĐle Ŷeural Ŷetǁork ŵodel for the aŵpere’s laǁ. AWERProcedia Information Technology & Computer Science. [Online]. 2013, 04, pp 349-355. Available from: www.awer-center.org/pitcs Received December 09, 2012; revised January 24, 2013; accepted March 14, 2013. SeleĐtioŶ aŶd peer reǀieǁ uŶder respoŶsiďilitLJ of Prof. Dr. FahrettiŶ Sadıkoglu, Near East UŶiǀersitLJ. ©ϮϬϭϯ AĐadeŵiĐ World EduĐatioŶ & ResearĐh CeŶter. All rights reserǀed. Abstract Artificial neural network is biological nervous systems which designed by computer aided programs to simulate processes information of the human brain. The multilayered artificial neural network based on back-propagation algorithm is the most preferred method in many studies. In this study, an artificial neural network model is presented for the Aŵpere’s Laǁ. The designed model consists of the back-propagation feed-forward neural network. Before training, input and target data sets are normalized in range of -1 to 1. The data sets used in the study are obtained from the Virtual Physics Laboratory. Also, various training algorithms are examined for better performance. Comparison of the simulation results showing the performance of network model are illustrated in the paper. Keywords: Artificial neural network, Back-propagation, Feed-forward, Ampere’s Law; * ADDRESS FOR CORRESPONDENCE: Öŵer Faruk AlçiŶ, Firat University, Dept. of Elect. And Comp. Science, Elazig 23119, Turkey, E-mail address: ofalcin@firat.edu.tr / Tel.: +90-424-237-0000