Abstract
This paper, two Artificial Neural Network (ANN) models using radial basis function (RBF) nets are developed for the design of Aperture Coupled Microstrip Antennas (ACMSA) for different number of design parameters. The effect of increasing the number of design parameters on the ANN model is also discussed in this work. The performances of the models when compared are found that on decreasing the number of design parameters, accuracy of the model is in-creased. The results given by the prepared models are comparable with the results of the IE3D software. So, these models are accurate enough to measure the design parameters of ACMSAs. Thus the neural network approach elimi-nates the long time consuming process of finding various designing parameters using costly software packages.
Highlights
The artificial neural network can be referred to as an artificial human brain which processes data after proper training
This paper, two Artificial Neural Network (ANN) models using radial basis function (RBF) nets are developed for the design of Aperture Coupled Microstrip Antennas (ACMSA) for different number of design parameters
Still a low error percentage from the ANN models is always desirable, the second RBF-ANN model is developed to give only two design parameters of an ACMSA keeping other parameters fixed at some predetermined value
Summary
The artificial neural network can be referred to as an artificial human brain which processes data after proper training. Adaptive capability and ease of implementation have made ANN a popular tool for many design problems in today’s communication world These networks directly give almost accurate result eliminating the various time consuming complex computations required for different works. The dimensions of antenna along with its feed line and dielectric of the substrate are other parameters which are to be optimized for antenna to operate in a desired resonant frequency or frequency band in case wide band and UWB operation [7,8,9,10,11] Determination of these parameters is tedious, cumbersome and time consuming process. In this proposed work, due to the high demand of wide band antennas in wireless communication, ACMSA’s design problems are taken under consideration. Both the models can be used to design an ACMSA for a desired minimum frequency in the frequency band ranging from 1.5 GHz to 8.9 GHz
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