Design of Multilayer Rectangular Microstrip Antenna using Artificial Neural Networks

نویسندگان

  • P. Malathi
  • Raj Kumar
چکیده

In this paper, an Artificial Neural Networks (ANN) model has been developed to design the multilayer Rectangular microstrip patch. In the design procedure, synthesis ANN model is used as feed forward network to calculate the resonant frequency. Analysis ANN model is used as the reverse side of the problem to calculate the antenna dimension. The network is trained with the data obtained from measurements and calculated reference values. Levenberg-Marquardt learning algorithm was found to be the best algorithm in comparison to other algorithms. The results obtained from trained artificial neural network are compared with reference values. The average % accuracy in resonant frequency of ANN model for microstrip antenna with cover, Suspended microstrip antenna with cover, Spaced dielectric Antenna and microstrip antenna with two superstrates is 0.25 %, 0.54 %, 0.17 % and 0.076 % respectively. ANN is in very close agreement with reference values. The proposed ANN model requires no complicated mathematical formulas and suitable for CAD applications.

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تاریخ انتشار 2009