Embedded KBNN and its application to square ring microstrip patch antenna

Panda, Dhruba C.; Kumari, E. Kusuma

doi:10.1109/aemc.2011.6256818

Cited by 3 publications

(2 citation statements)

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“…It uses back propagation algorithm for training. Details of training steps can be found in [2]. In this paper, equations are proposed which acts as knowledge of KBNN algorithm to calculate gain and return loss of circular microstrip patch antenna.…”

Section: Introductionmentioning

confidence: 99%

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2015

International Journal of Innovative Research in Electrical, Ele

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Antennas are key components of any wireless communication system. Patch antennas are widely used as they offer low-profile designs for a wide range of wireless applications. The design of circular patch antenna is presented in this paper and the simulated results are compared with the general well-known results of antenna's performance incorporating its radiation property, gain, port characteristics and s-parameters. The optimum gain was observed at the substrate thickness of 0.35mm and here the return loss (S11) is -22dB but return loss is still good at radius of patch 21.5mm with increasing gain. Modelling was done using backpropagation algorithm (KBNN) and simulations were done using HFSS.

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Section: Introductionmentioning

confidence: 99%

“…Input layer hidden layer output layer Recently a simple Knowledge Based Neural Network (KBNN) has been proposed in [2] to efficiently train neural networks with limited data (Fig. 1).…”

Section: Introductionmentioning

confidence: 99%