Current Proceedings on Technology

Current Proceedings on Technology

Modeling of Memristor by Using Artificial Neural Network

Yazarlar: Deniz Korkmaz, Ömer Faruk Alçin, Sami Ekici

Cilt 4 , Sayı - , 2013 , Sayfalar -

Konular:-

Anahtar Kelimeler:Memristor,Radial basis artifical neural network,Back-propagation,Feed-forward,Training algorithm

Özet: In this paper, an Artificial Neural Network (ANN) model is presented for the missing memristor device by using Matlab/Neural Network Toolbox. Input and target data sets are derived based on the mathematical model of memristor. The ANN model consists of the Radial Basis Artificial Neural Network (RB-ANN) and the designed model is compared with Back-Propagation Feed-Forward Neural Network (BP-FFN). Before training, input and target data sets are normalized between ranges of -1 to 1. For the spread of radial basis coefficient, two-level grid-search is performed and chosen around 0.0241 for compatibility of the normalized data sets. Obtained simulation results are illustrated in the paper and compared with the mathematical and ANN models.

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@article{2013, title={Modeling of Memristor by Using Artificial Neural Network}, volume={4}, number={0}, publisher={Current Proceedings on Technology }, author={Deniz Korkmaz, Ömer Faruk Alçin, Sami Ekici}, year={2013} }
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Deniz Korkmaz, Ömer Faruk Alçin, Sami Ekici. (2013). Modeling of Memristor by Using Artificial Neural Network (Vol. 4). Vol. 4. Current Proceedings on Technology .
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Deniz Korkmaz, Ömer Faruk Alçin, Sami Ekici. Modeling of Memristor by Using Artificial Neural Network. no. 0, Current Proceedings on Technology , 2013.
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