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Calculation of bandwidth for electrically thin and thick rectangular microstrip antennas with the use of multilayered perceptrons
Author(s) -
Sağiroğlu Şeref,
Güney Kerim,
Erler Mehmet
Publication year - 1999
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/(sici)1099-047x(199905)9:3<277::aid-mmce11>3.0.co;2-3
Subject(s) - bandwidth (computing) , microstrip , backpropagation , microwave , microstrip antenna , electronic engineering , perceptron , computer science , bar (unit) , artificial neural network , acoustics , materials science , engineering , physics , telecommunications , artificial intelligence , antenna (radio) , meteorology
A new, simple approach for calculating bandwidth of electrically thin and thick rectangular microstrip patch antennas, based on multilayered perceptrons network, is presented. Four learning algorithms, backpropagation, delta‐bar‐delta, quick propagation, and extended‐delta‐bar‐delta are used to train perceptrons. Theoretical bandwidth results obtained using the new approach are in agreement with experimental results available in the literature. ©1999 John Wiley & Sons, Inc. Int J RF and Microwave CAE 9: 277–286, 1999.