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Modelling chaotic systems with neural networks : application to seismic event predicting in gold mines

dc.contributor.advisorOmlin, Christian W.
dc.contributor.advisorVan der Walt, Andries P. J.
dc.contributor.authorVan Zyl, Jacobus
dc.contributor.otherUniversity of Stellenbosch. Faculty of Science. Dept. of Mathematical Sciences. Computer Science.
dc.contributor.other
dc.date.accessioned2010-08-31T13:33:20Z
dc.date.available2010-08-31T13:33:20Z
dc.date.issued2001-12
dc.identifier.urihttp://hdl.handle.net/10019.1/4580
dc.descriptionThesis (MSc (Computer Science))-- University of Stellenbosch, 2001.
dc.description.abstractENGLISH ABSTRACT: This thesis explores the use of neural networks for predicting difficult, real-world time series. We first establish and demonstrate methods for characterising, modelling and predicting well-known systems. The real-world system we explore is seismic event data obtained from a South African gold mine. We show that this data is chaotic. After preprocessing the raw data, we show that neural networks are able to predict seismic activity reasonably well.en
dc.description.abstractAFRIKAANSE OPSOMMING: Hierdie tesis ondersoek die gebruik van neurale netwerke om komplekse, werklik bestaande tydreekse te voorspel. Ter aanvang noem en demonstreer ons metodes vir die karakterisering, modelering en voorspelling van bekende stelsels. Ons gaan dan voort en ondersoek seismiese gebeurlikheidsdata afkomstig van ’n Suid-Afrikaanse goudmyn. Ons wys dat die data chaoties van aard is. Nadat ons die rou data verwerk, wys ons dat neurale netwerke die tydreekse redelik goed kan voorspel.af
dc.description.sponsorshipIntegrated Seismic Systems International
dc.language.isoen_ZA
dc.publisherStellenbosch : University of Stellenbosch
dc.subjectAttractorsen
dc.subjectSeismic monitoring and predictionen
dc.subjectSeismic time seriesen
dc.subjectDissertations -- Computer scienceen
dc.subjectTheses -- Computer scienceen
dc.subjectNeural networks (Computer science)en
dc.subjectChaotic behavior in systemsen
dc.subjectSeismic event location -- Data processingen
dc.titleModelling chaotic systems with neural networks : application to seismic event predicting in gold minesen
dc.typeThesis
dc.rights.holderUniversity of Stellenbosch


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