Hardware Neural Networks Modeling for Computing Different Performance Parameters of Rectangular, Circular, and Triangular Microstrip Antennas
Joint Authors
Source
Chinese Journal of Engineering
Issue
Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-11, 11 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2014-02-26
Country of Publication
Egypt
No. of Pages
11
Main Subjects
Engineering Sciences and Information Technology
Abstract 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.
American Psychological Association (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
Modern Language Association (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
American Medical Association (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
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-508538