Hardware Neural Networks Modeling for Computing Different Performance Parameters of Rectangular, Circular, and Triangular Microstrip Antennas

المؤلفون المشاركون

De, Asok
Khan, Taimoor

المصدر

Chinese Journal of Engineering

العدد

المجلد 2014، العدد 2014 (31 ديسمبر/كانون الأول 2014)، ص ص. 1-11، 11ص.

الناشر

Hindawi Publishing Corporation

تاريخ النشر

2014-02-26

دولة النشر

مصر

عدد الصفحات

11

التخصصات الرئيسية

العلوم الهندسية و تكنولوجيا المعلومات

الملخص EN

In the last one decade, neural networks-based modeling has been used for computing different performance parameters of microstrip antennas because of learning and generalization features.

Most of the created neural models are based on software simulation.

As the neural networks show massive parallelism inherently, a parallel hardware needs to be created for creating faster computing machine by taking the advantages of the parallelism of the neural networks.

This paper demonstrates a generalized neural networks model created on field programmable gate array- (FPGA-) based reconfigurable hardware platform for computing different performance parameters of microstrip antennas.

Thus, the proposed approach provides a platform for developing low-cost neural network-based FPGA simulators for microwave applications.

Also, the results obtained by this approach are in very good agreement with the measured results available in the literature.

نمط استشهاد جمعية علماء النفس الأمريكية (APA)

Khan, Taimoor& De, Asok. 2014. Hardware Neural Networks Modeling for Computing Different Performance Parameters of Rectangular, Circular, and Triangular Microstrip Antennas. Chinese Journal of Engineering،Vol. 2014, no. 2014, pp.1-11.
https://search.emarefa.net/detail/BIM-508538

نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)

Khan, Taimoor& De, Asok. Hardware Neural Networks Modeling for Computing Different Performance Parameters of Rectangular, Circular, and Triangular Microstrip Antennas. Chinese Journal of Engineering No. 2014 (2014), pp.1-11.
https://search.emarefa.net/detail/BIM-508538

نمط استشهاد الجمعية الطبية الأمريكية (AMA)

Khan, Taimoor& De, Asok. Hardware Neural Networks Modeling for Computing Different Performance Parameters of Rectangular, Circular, and Triangular Microstrip Antennas. Chinese Journal of Engineering. 2014. Vol. 2014, no. 2014, pp.1-11.
https://search.emarefa.net/detail/BIM-508538

نوع البيانات

مقالات

لغة النص

الإنجليزية

الملاحظات

Includes bibliographical references

رقم السجل

BIM-508538