Prior Knowledge Input Method In Device Modeling

Serdar HEKİMHAN; Serdar MENEKAY; N. Serap ŞENGÖR

Makale detayları

Prior Knowledge Input Method In Device Modeling

Yazarlar:

Serdar HEKİMHAN | Serdar MENEKAY | N. Serap ŞENGÖR

Yayıncı:

TUBITAK

Dergi:

Turkish Journal of Electrical Engineering and Computer Science 2005 Vol.13 Issue 1, pp.51-60

Belge Tipi:

Makale

Yayın Tarihi:

12/2004

Belge Dili:

Türkçe

Document ID (Org No.):

2000744223

Sıklık:

İki Aylık

eISSN:

1303-6203

pISSN:

1300-0632

Özet:

 

The artificial neural networks are being used in modelling  electronic elements and devices especially at microwave frequencies  where non-linearity and dependence on frequency cannot be neglected.   In this paper, instead of using artificial neural networks as a unique  modelling device prior knowledge input method based on feed-forward  artificial neural network structures as multi-layer perceptrons and  wavelet-based neural networks is investigated.  The benefits of prior  knowledge input method over plain usage of artificial neural networks  in modelling BJT is explored by comparing models obtained with and  without prior knowledge input.  The novelty of the paper is utilizing  wavelet-based neural networks as feed-forward structure in prior  knowledge input method.  The training and test data used in  simulations are obtained by HP 4155 parameter analyser.

 

The artificial neural networks are being used in modelling  electronic elements and devices especially at microwave frequencies  where non-linearity and dependence on frequency cannot be neglected.   In this paper, instead of using artificial neural networks as a unique  modelling device prior knowledge input method based on feed-forward  artificial neural network structures as multi-layer perceptrons and  wavelet-based neural networks is investigated.  The benefits of prior  knowledge input method over plain usage of artificial neural networks  in modelling BJT is explored by comparing models obtained with and  without prior knowledge input.  The novelty of the paper is utilizing  wavelet-based neural networks as feed-forward structure in prior  knowledge input method.  The training and test data used in  simulations are obtained by HP 4155 parameter analyser.

Makale detayları

Prior Knowledge Input Method In Device Modeling

Yazarlar: Serdar HEKİMHAN | Serdar MENEKAY | N. Serap ŞENGÖR

Yayıncı: TUBITAK

Dergi: Turkish Journal of Electrical Engineering and Computer Science 2005 Vol.13 Issue 1, pp.51-60

Belge Tipi: Makale

Yayın Tarihi: 12/2004

Belge Dili: Türkçe

Document ID (Org No.): 2000744223

Sıklık: İki Aylık

eISSN: 1303-6203

pISSN: 1300-0632

Sayı

Yazarlar:

Serdar HEKİMHAN | Serdar MENEKAY | N. Serap ŞENGÖR

Yayıncı:

TUBITAK

Dergi:

Turkish Journal of Electrical Engineering and Computer Science 2005 Vol.13 Issue 1, pp.51-60

Belge Tipi:

Makale

Yayın Tarihi:

12/2004

Belge Dili:

Türkçe

Document ID (Org No.):

2000744223

Sıklık:

İki Aylık

eISSN:

1303-6203

pISSN:

1300-0632