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Designing and Analysis of Antenna Using Back Propagation Network

Designing and Analysis of Antenna Using Back Propagation Network
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Author(s): Rajeev Kumar (Lovely Professional University, India), Ritu Vijay (Banasthali Vidyapith University, India) and Surjit Singh (Thapar Institute of Engineering and Technology, India)
Copyright: 2019
Pages: 38
Source title: Handbook of Research on the IoT, Cloud Computing, and Wireless Network Optimization
Source Author(s)/Editor(s): Surjit Singh (Thapar Institute of Engineering and Technology, India) and Rajeev Mohan Sharma (National Institute of Technology Kurukshetra, India)
DOI: 10.4018/978-1-5225-7335-7.ch020

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Abstract

This chapter deals with the designing of an antenna using computational intelligence algorithm (i.e., ANN). An artificial neural network (ANNs) based on back propagation network (BPN) is demonstrated for the designing of an antenna. Initially, the ANN is trained with an adequate number of samples. Once the ANN is trained, it can be used to get antenna parameters corresponding to specific antenna dimensions. The antenna parameters obtained using ANN is compared with the results taken by Ansoft HFSS.

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