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Tunnel‐based artificial neural network technique to calculate the resonant frequency of a thick‐substrate microstrip antenna
Author(s) -
Pattnaik Shyam S.,
Panda Dhruba C.,
Devi S.
Publication year - 2002
Publication title -
microwave and optical technology letters
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.304
H-Index - 76
eISSN - 1098-2760
pISSN - 0895-2477
DOI - 10.1002/mop.10495
Subject(s) - microwave , artificial neural network , substrate (aquarium) , microstrip antenna , microstrip , antenna (radio) , software , engineering , electronic engineering , software package , acoustics , materials science , computer science , electrical engineering , telecommunications , physics , artificial intelligence , geology , oceanography , programming language
The mathematical formulation of empirically developed formulas for the calculation of the resonant frequency of a thick‐substrate (h ≥ 0.08151λ 0 ) microstrip antenna has been analyzed. With the use of tunnel‐based artificial neural networks (ANNs), the resonant frequency of antennas with h satisfying the thick‐substrate condition are calculated and compared with the existing experimental results and also with the simulation results obtained with the use of an IE3D software package. The artificial neural network results are in very good agreement with the experimental results. © 2002 Wiley Periodicals, Inc. Microwave Opt Technol Lett 34: 460–462, 2002; Published online in Wiley InterScience (www.interscience.wiley.com). DOI 10.1002/mop.10495