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Design of microwave structures with M EFISTO ‐3 D N OVA and M ATLAB optimization and neural network toolboxes
Author(s) -
Chu HongSon,
So Poman P. M.,
Hoefer Wolfgang J. R.
Publication year - 2006
Publication title -
international journal of numerical modelling: electronic networks, devices and fields
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.249
H-Index - 30
eISSN - 1099-1204
pISSN - 0894-3370
DOI - 10.1002/jnm.630
Subject(s) - toolbox , artificial neural network , matlab , computer science , field (mathematics) , process (computing) , domain (mathematical analysis) , function (biology) , microwave , artificial intelligence , telecommunications , operating system , programming language , mathematics , pure mathematics , mathematical analysis , evolutionary biology , biology
This paper introduces two time‐domain field‐based optimization procedures for microwave engineering. The methods are built on the foundations of M ATLAB 's optimization and neural network toolboxes. The first procedure makes use of a direct connection linking M ATLAB 's optimization toolbox with M EFISTO ‐3 D N OVA . In this approach the field simulator acts as an objective function server for the optimization toolbox; these two programs work cooperatively with each other to tune the structure parameters to obtain a target response. The second procedure is an indirect optimization approach that makes use of M ATLAB 's neural network toolbox in conjunction with M EFISTO ‐3 D N OVA to create a neural network model to emulate the structure of interest; the resulting neural network model is then used an objective function server in a normal M ATLAB optimization process. Copyright © 2006 John Wiley & Sons, Ltd.