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Author/Affiliation: Ali AkdagliOpen AccessArticle
5 Pages, 824 KB 
An Application of ANN Model with Bayesian Regularization Learning Algorithm for Computing the Operating Frequency of C-Shaped Patch Antennas
Abstract:
In this paper, an application of artificial neural network (ANN) using bayesian regularization (BR) learning algorithm based on multilayer perceptron (MLP) model is presented for computing the operating frequency of C-shaped patch antennas (CPAs) in UHF band. Firstly, the operating frequencies of 144 CPAs having varied dimensions and electrical parameters were simulated by the XFDTD…
Read More(This article belongs to the Special issue on Recent Advances in Electrical and Electronics Engineering 2016 & Section Telecommunications (TEL))