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Design and Analysis of Microstrip Antenna Using Multilayer Feed-Forward Back-Propagation Neural Network (MLPFFBP-ANN)

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Advances in Communication, Devices and Networking

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 462))

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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Author information

Authors and Affiliations

  1. Department of Computer Science Engineering, S. R. G. I., Jhansi, India

    Poornima Singh & Archana Lala

  2. Department of Electrical Engineering, S. R. G. I., Jhansi, India

    Vinod Kumar Singh

  3. Department of Electrical and Electronics Engineering, Sikkim Manipal Institute of Technology (SMIT), Sikkim, India

    Akash Kumar Bhoi

Authors
  1. Poornima Singh
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  2. Vinod Kumar Singh
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  3. Archana Lala
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  4. Akash Kumar Bhoi
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Corresponding author

Correspondence to Vinod Kumar Singh .

Editor information

Editors and Affiliations

  1. Department of Electronics and Communication Engineering, Sikkim Manipal Institute of Technology, Majitar, Rangpo, Sikkim, India

    Rabindranath Bera

  2. Department of Electronics and Telecommunication Engineering, Jadavpur University, Kolkata, West Bengal, India

    Subir Kumar Sarkar

  3. Department of Electronics and Communication Engineering, Sikkim Manipal Institute of Technology, Majitar, Rangpo, Sikkim, India

    Swastika Chakraborty

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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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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-10-7900-9

  • Online ISBN: 978-981-10-7901-6

  • eBook Packages: EngineeringEngineering (R0)

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