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Novel Inset Feed Circular Slotted Microstrip Antenna Using Multilayer Feed-Forward Back-Propagation and Radial Basis Function Neural Network

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Abstract

In this article, the algorithms of MLPFFBP-ANN and RBF-ANN are utilized to make the neural system and for the assessment of transmission capacity of antenna. The preparation and testing information of the neural system is acquired by IE3D programming. The outcomes acquired by utilizing MLPFFBP-ANN and RBF-ANN are counted with IE3D and are very sensible. The working frequency scope of the radio wire varies from 3.1 GHz to 5.495 GHz with data transfer capacity of 55.73%. The outcomes obtained from IE3D and MLPFFBP-ANN and RBF-ANN are exceedingly related.

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Correspondence to Vinod Kumar Singh.

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Singh, V.K., Lala, A. & Singh, A.K. Novel Inset Feed Circular Slotted Microstrip Antenna Using Multilayer Feed-Forward Back-Propagation and Radial Basis Function Neural Network. Natl. Acad. Sci. Lett. 43, 343–345 (2020). https://doi.org/10.1007/s40009-020-00877-4

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  • DOI: https://doi.org/10.1007/s40009-020-00877-4

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