Current Proceedings on Technology

Current Proceedings on Technology

An Artificial Neural Network Model for The Amperes Law

Yazarlar: Ömer Faruk Alcin, Deniz Korkmaz, Sami Ekici, Abdulkadir Şengür

Cilt 4 , Sayı - , 2013 , Sayfalar -

Konular:-

Anahtar Kelimeler:Artificial neural network,Back-propagation,Feed-forward,Ampere’s Law

Özet: 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 Ampere’s Law. 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.

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@article{2013, title={An Artificial Neural Network Model for The Amperes Law}, volume={4}, number={0}, publisher={Current Proceedings on Technology }, author={Ömer Faruk Alcin, Deniz Korkmaz, Sami Ekici, Abdulkadir Şengür}, year={2013} }
APA
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Ömer Faruk Alcin, Deniz Korkmaz, Sami Ekici, Abdulkadir Şengür. (2013). An Artificial Neural Network Model for The Amperes Law (Vol. 4). Vol. 4. Current Proceedings on Technology .
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Ömer Faruk Alcin, Deniz Korkmaz, Sami Ekici, Abdulkadir Şengür. An Artificial Neural Network Model for The Amperes Law. no. 0, Current Proceedings on Technology , 2013.
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