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In this paper, a neural network model is proposed which can be used for designing any monopole antenna whose element is square shaped and required to exhibit a wide band characteristics. All the antennas designed using this model shows a wideband response between 4.5 GHz - 5 GHz. This model is prepared using Feed Forward Back Propagation Algorithm. The results given by the prepared model are compared...
In recent years, electromagnetic simulation has seen many changes with adaptation of tools from other fields like DSP, Artificial Neural Networks, Genetic Algorithm etc. This presentation aims at informing the audience of the applications of Soft-Computing techniques for CAD in the area of Antennas and Propagation. It starts with the application of Artificial Neural Networks in design and analysis...
The cavity model is suitable for analytical solution to Helmholtzpsilas equation of patch antennas. Neural network based solutions are suggested as alternatives to conventional cavity methods for the circular microstrip antenna. A trial solution of the differential equation is developed incorporating the boundary conditions. Then the network is trained to satisfy the differential equation.
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