Abstract
In this article, the algorithms of MLPFFBP-ANN are used to make the neural network model and for the judgment of bandwidth of microstrip antenna. The training and testing data of the neural network are procured by analyzing the microstrip patch antenna by IE3D software. The results obtained by using MLPFFBP-ANN are tallied with IE3D and are quite reasonable. The operating frequency range of the antenna varies from 1.66 to 2.53 GHz. The results acquired from IE3D and ANN are highly correlated.
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Singh, P., Singh, V.K., Lala, A., Bhoi, A.K. (2018). Design and Analysis of Microstrip Antenna Using Multilayer Feed-Forward Back-Propagation Neural Network (MLPFFBP-ANN). In: Bera, R., Sarkar, S., Chakraborty, S. (eds) Advances in Communication, Devices and Networking. Lecture Notes in Electrical Engineering, vol 462. Springer, Singapore. https://doi.org/10.1007/978-981-10-7901-6_43
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DOI: https://doi.org/10.1007/978-981-10-7901-6_43
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