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Design and Feed Position Estimation for Circular Microstrip Antenna Based on Neural Network Model Optimized by PSO

In this paper a design and feed position determination for circular microstrip antenna based on neural network models are presented. Multilayer perceptron (MLP) is developed for antenna design. The physical and effective radius, as well as, directivity is obtained by MLP neural network. Radial basis function (RBF) neural network is used for feed position estimation. The obtained results are showed good matching with experimentally obtained results.

neural network; circular microstrip antenna; phyisical radius; effective radius; feed position; input impedance.

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