• MOHAMMAD ANEESH
• ASHISH SINGH
• KAMAKSHI

This work proposes to predict the accurate slot size of the H-shaped RMSA over a preferred level of performance parameters. Several performance affecting parameters like resonance frequencies, gain, and efficiency for dual band frequency are observed with the variation of slot size. The range of parameters 2 ≤ gain ≤ 8 dBi, 40 ≤ efficiency ≤ 100%, and 1 GHz ≤ (fr1 and fr2) ≤ 10GHz is considered as a input for ANN model. The slot dimensions L1, and W2 is considered as a output function for the ANN model. The tested result from ANN model for slot dimensions is used in rectangular patch to achieve desired level of performance. H-shaped antenna operates at dual resonance frequencies with sufficient gain and efficiency. The H-shaped RMSA found good applications for S and C band.

Artificial neural network, Multilayer perceptron, Rectangular microstrip patch antenna, Levenberg-Marquardt.

"Slot Size Prediction of H-shaped Rectangular Microstrip Patch Antenna Using Artificial Neural Network", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 3, page no.321-327, March-2019, Available :http://www.jetir.org/papers/JETIR1903D53.pdf

"Slot Size Prediction of H-shaped Rectangular Microstrip Patch Antenna Using Artificial Neural Network", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 3, page no. pp321-327, March-2019, Available at : http://www.jetir.org/papers/JETIR1903D53.pdf