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Employment of Artificial Neural Network in Manipulating Design Constraints of Rectangular Microstrip Patch AntennaKeywords: ANN , HFSS , Microstrip , nntool. Abstract: The parameter optimization by means of the neuralnetworks is the major attraction, which highlights the ease,precision and reduction in computational time for the designers ofinterest. The paper deals with the design of a probe fedrectangular Microstrip patch antenna for 2.4 GHz frequency. Theanalytical results for various conceivable dimensions anddifferent dielectric values were intended without any structuralcomplexities. To achieve an optimum value for the designparameters of the Microstrip antenna, Multilayer PerceptronNeural Network (MLP) and Back Propagation algorithm wereimplemented to train the network. The analytical results weretested by simulating with basic design software HFSS. The bid ofartificial neural network ensures an optimal design methodologywhich is revealed when relating the results with analyticalmethods, results of the simulation software.
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