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This paper presents the general design of microstrip antennas using artificial neural networks for rectangular patch geometry. The design consists of synthesis in the forward side and then analyzed as the reverse side of the problem. In this work, the neural network is employed as a tool in design of microstrip antennas. The neural network training algorithms are used in simulation of results for training the samples to minimize the error and to obtain the geometric dimensions with high accuracy for selective band of frequencies.