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Application of FIR‐neural network on finite difference time domain technique to calculate input impedance of microstrip patch antenna
Author(s) -
Panda Dhruba C.,
Pattnaik Shyam S.,
Devi Swapna,
Mishra Rabindra K.
Publication year - 2010
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.20417
Subject(s) - finite difference time domain method , microstrip , artificial neural network , electrical impedance , impulse (physics) , microstrip antenna , acoustics , time domain , microwave , electronic engineering , antenna (radio) , computer science , mathematics , engineering , physics , electrical engineering , optics , telecommunications , artificial intelligence , quantum mechanics , computer vision
Abstract Finite impulse response artificial neural network (FIR‐ANN) is used for speeding up the FDTD. The FIR‐ANN based FDTD (Neuro FDTD) is used to calculate input impedance of coaxial fed stacked microstrip patch antenna. Input impedance obtained by Neuro FDTD and FDTD are compared. It has been observed that Neuro FDTD provides same result with less number of iteration than compared to FDTD. © 2010 Wiley Periodicals, Inc. Int J RF and Microwave CAE, 2010.