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Neural network models of slotted waveguide directional couplers

Thesis (MScEng)--University of Stellenbosch, 2001. / ENGLISH ABSTRACT: The application of artificial neural networks to microwave circuits is investigated. A neural
network model is developed for two parallel waveguides coupled by a longitudinal slot in the
common broad wall. Training data is generated through a moment method solution of the
integral equations that describe the structure. A systematic investigation of training options is
carried out and the development of the model is described in detail. The model is evaluated and
compared with an Adaptive Sampling Interpolation (ASI) Technique. The neural network is
found to be less accurate than the ASI Technique at a much greater expense of development time
and required user supervision. / AFRIKAANSE OPSOMMING: Die toepassing van neurale netwerke op mikrogolfbane is ondersoek. In Neurale netwerk-model
is ontwikkel vir twee parallelle golfleiers met longitudinale gleufkoppeling in die
gemeenskaplike bree wand. Data vir die opleiding van die netwerke is verkry deur In
momentmetode-oplossing van die integraalvergelykings wat die struktuur beskryf. Verskillende
ontwerpsopsies vir die netwerke is stelselmatig ondersoek en die ontwikkelingsproses van die
netwerk is volledig beskryf. Die model is geevalueer en vergelyk met In Aanpasbare Monstering
Interpolasietegniek (AMI). Daar is gevind dat die neurale netwerk minder akkuraat is as die
AMI terwyl die koste aan ontwikkelingstyd en gebruikerstoesig hoer is.

Identiferoai:union.ndltd.org:netd.ac.za/oai:union.ndltd.org:sun/oai:scholar.sun.ac.za:10019.1/52354
Date12 1900
CreatorsMuller, Martinette
ContributorsMeyer, P., Stellenbosch University. Faculty of Engineering. Dept. of Electrical and Electronic Engineering.
PublisherStellenbosch : Stellenbosch University
Source SetsSouth African National ETD Portal
Languageen_ZA
Detected LanguageUnknown
TypeThesis
Format125 p. : ill.
RightsStellenbosch University

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