Calculation of Resonating Frequency of an Equilateral Triangular Microstrip Antenna Using Artificial Neural Network, “This paper has been withdrawn”

  • Authors

    • Prachi Gupta madhav institute of technology and science gwalior
    • P.K. Singhal
    • Ritambhra Gupta
    https://doi.org/10.14419/ijet.v1i4.383

    Received date: August 16, 2012

    Accepted date: September 6, 2012

    Published date: September 11, 2012

  • Abstract

    This paper adopted a new method of calculation of resonating frequency of an equilateral triangular microstrip antenna using artificial neural network (ANN). The major advantage of an artificial neural network is proposed to predict the resonant frequency of an antenna as a function of its geometric parameters. The proposed neural model completely bypasses the required number of electromagnetic computation in training for design of such types of antenna. Thus resulting is an extremely fast solution and the ANN is ten times lower than that needed during antenna optimization process and resulting with high accuracy. The simulated software (Zealand IE3D version 12.0) based on method of moments has been used to generate data for training and validation set of ANN. The results of proposed ANN model are compared with the simulated results which were in very good agreement with the simulated results.

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  • How to Cite

    Gupta, P., Singhal, P., & Gupta, R. (2012). Calculation of Resonating Frequency of an Equilateral Triangular Microstrip Antenna Using Artificial Neural Network, “This paper has been withdrawn”. International Journal of Engineering and Technology, 1(4), 444-452. https://doi.org/10.14419/ijet.v1i4.383