Artificial Neural Network Employed To Design Annular Ring Microstrip Antenna

Journal Title: International Journal on Computer Science and Engineering - Year 2012, Vol 4, Issue 4

Abstract

Neural network computational modules have recently gained as an unconventional and useful tool for RF and microwave modeling and design. Neural network is trained to learn the behavior of Annular Ring Microstrip Antenna’s equivalent circuit parameters. A trained neural network is used for designing fast and less error answers to the task that has to be learned. In this paper, structure of Annular Ring Microstrip Antenna (ARMSA) is studied and sets of datum are collected for the training of the Multilayer Perceptron (MLP) Neural Network.

Authors and Affiliations

Anil Kumar , Chandra Kant Shukla

Keywords

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  • EP ID EP97887
  • DOI -
  • Views 122
  • Downloads 0

How To Cite

Anil Kumar, Chandra Kant Shukla (2012). Artificial Neural Network Employed To Design Annular Ring Microstrip Antenna. International Journal on Computer Science and Engineering, 4(4), 556-564. https://europub.co.uk/articles/-A-97887