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An overview of neural network methods in computational electromagnetics
Author(s) -
Mishra Rabindra K.
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.10009
Subject(s) - finite difference time domain method , extrapolation , artificial neural network , computational electromagnetics , microstrip , computer science , electromagnetics , microstrip antenna , resonator , electronic engineering , microwave , filter (signal processing) , antenna (radio) , engineering , physics , telecommunications , electrical engineering , mathematics , optics , artificial intelligence , electromagnetic field , mathematical analysis , quantum mechanics , computer vision
Some of the applications of neural network techniques in different methods, in computational electromagnetics, are highlighted. Applications in finite element method for automated mesh generation are described. Extrapolation of the FDTD data using FIR filter‐based neural network is illustrated. Use of the neural network method in spectral domain technique for determination of resonant frequency of a microstrip resonator and the input impedance of a microstrip antenna are shown. Furthermore, potential application areas are identified. © 2002 John Wiley & Sons, Inc. Int J RF and Microwave CAE 12: 98–108, 2002.