New modeling of reconfigurable microstrip antenna using hybrid structure of simulation driven and knowledge based artificial neural networks

Ashrf AOAD; Zafer AYDIN

Makale detayları

New modeling of reconfigurable microstrip antenna using hybrid structure of simulation driven and knowledge based artificial neural networks

Yazarlar:

Ashrf AOAD | Zafer AYDIN

Yayıncı:

Pamukkale University

Ana Başlıklar:

Uygulamalı fizik

Dergi:

Pamukkale University Journal of Engineering Sciences 2020 Vol.26 Issue 5, pp.935-943

Belge Tipi:

Makale

Yayın Tarihi:

10/2020

Belge Dili:

İngilizce

Document ID (Org No.):

2000575355

Sıklık:

İki Aylık

eISSN:

2147-5881

pISSN:

1300-7009

Özet:

 

Knowledge-based modeling has a critical role to embed existing knowledge to improve modeling performance. Since reconfigurable antenna can provide more operational frequencies than the classical antennas, a knowledge-based hybrid structure is used in this work to obtain efficient model and producing optimum new models for a reconfigurable microstrip antenna. The hybrid structure consists of two phases. The first phase generates initial knowledge which is used in knowledge-based modeling structure to obtain design parameters. Artificial neural network based multilayer perceptron can generate necessary knowledge for a knowledge-based model after the training process. Knowledge-based modeling improves the accuracy of the initial model to determine design parameters corresponding to the design target. Source difference, prior knowledge Input and prior knowledge input with difference can be applied to realize an efficient knowledge-based strategy. 3D-EM simulation generates the new model in terms of the design parameters of the proposed application. It has three switching states for operating, which are organized by two resistor circuits representing ON/OFF states. Switch positions and geometrical parameters can be used for satisfying design targets between 1 GHz and 6 GHz for the efficient antenna design.

Makale detayları

New modeling of reconfigurable microstrip antenna using hybrid structure of simulation driven and knowledge based artificial neural networks

Yazarlar: Ashrf AOAD | Zafer AYDIN

Yayıncı: Pamukkale University

Ana Başlıklar: Uygulamalı fizik

Dergi: Pamukkale University Journal of Engineering Sciences 2020 Vol.26 Issue 5, pp.935-943

Belge Tipi: Makale

Yayın Tarihi: 10/2020

Belge Dili: İngilizce

Document ID (Org No.): 2000575355

Sıklık: İki Aylık

eISSN: 2147-5881

pISSN: 1300-7009

Sayı

Yazarlar:

Ashrf AOAD | Zafer AYDIN

Yayıncı:

Pamukkale University

Ana Başlıklar:

Uygulamalı fizik

Dergi:

Pamukkale University Journal of Engineering Sciences 2020 Vol.26 Issue 5, pp.935-943

Belge Tipi:

Makale

Yayın Tarihi:

10/2020

Belge Dili:

İngilizce

Document ID (Org No.):

2000575355

Sıklık:

İki Aylık

eISSN:

2147-5881

pISSN:

1300-7009