Optimization of Antenna Parameters Using Artificial Neural Network: A Review

International Journal of Computer Trends and Technology (IJCTT)          
© 2017 by IJCTT Journal
Volume-44 Number-2
Year of Publication : 2017
Authors : Monica Singhal, Garima Saini
DOI :  10.14445/22312803/IJCTT-V44P112


Monica Singhal, Garima Saini  "Optimization of Antenna Parameters Using Artificial Neural Network: A Review". International Journal of Computer Trends and Technology (IJCTT) V44(2):64-73, February 2017. ISSN:2231-2803. www.ijcttjournal.org. Published by Seventh Sense Research Group.

Abstract -
Microstrip Patch antenna is used in various antenna systems because of their low profile, light weight, low cost, compactness etc. Patch antenna is also used with Microwave IC’s and Monolithic Microwave IC’s because of its compatibility. Artificial neural network have become popular for predicting performance parameters of various antenna because of their learning and simplification features. The use of neural networks can considerably diminish the complexity. An upfront application of an artificial network consumes the information resulting from the composite measured processes to train an ANN. After appropriate process of training, these network representation can be considered in place of computationally exhaustive representations in order to hurry up the investigation. Various neural network training algorithm were used by the researchers to optimize the parameters of various antenna and to obtain the accurate results in less time. In this paper, we have made a study and survey on various antenna designs parameters using artificial neural network.

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Microstrip, ANN, Gradient Descent, MoM, Levenberg-Marquardt Back propagation.