Investigations for the Prediction of Resonant Frequency of Microstrip Patch Antenna Using RBF Neural Network
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Abstract
In this paper, an application of radial basis function (RBF) neural network is presented for the prediction of resonant frequency of microstrip patch antenna. The training and testing data for artificial neural network (ANN) model are generated with the help of method of moment based IE3D simulation software. ANN model predicted accurate results for resonant frequency of microstrip patch antenna. Simulated and ANN model results are compared with the experimental results which are available in the literature and found in good agreement.
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How to Cite
, M. A. J. A. A. S. K. (2014). Investigations for the Prediction of Resonant Frequency of Microstrip Patch Antenna Using RBF Neural Network. International Journal on Recent and Innovation Trends in Computing and Communication, 2(8), 2493–2496. https://doi.org/10.17762/ijritcc.v2i8.3736
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