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Generalized neural method to determine resonant frequencies of various microstrip antennas
Author(s) -
Guney Kerim,
Sagiroglu Seref,
Erler Mehmet
Publication year - 2002
Publication title -
international journal of rf and microwave computer‐aided engineering
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.335
H-Index - 39
eISSN - 1099-047X
pISSN - 1096-4290
DOI - 10.1002/mmce.10006
Subject(s) - microstrip , microstrip antenna , bar (unit) , microwave , artificial neural network , perceptron , backpropagation , physics , acoustics , electronic engineering , mathematical analysis , computer science , mathematics , engineering , telecommunications , artificial intelligence , antenna (radio) , meteorology
A generalized method for accurate determination of the resonant frequencies of microstrip antennas of regular geometries, based on the multilayered perceptrons network, is presented. Three learning algorithms, backpropagation, delta‐bar‐delta, and extended delta‐bar‐delta are used to train perceptrons. Neural results for the resonant frequencies of the rectangular, circular and triangular microstrip antennas are in good agreement with the experimental results available in the literature. © 2002 John Wiley & Sons, Inc. Int J RF and Microwave CAE 12: 131–139, 2002.