Full Text Available
Note: Clicking the button above will open the full text document at the original institutional repository in a new window.
Modelling chaotic systems with neural networks : application to seismic event predicting in gold mines
Thesis (MSc (Computer Science))-- University of Stellenbosch, 2001.
Saved in:
| Main Author: | |
|---|---|
| Other Authors: | |
| Format: | Thesis |
| Language: | en_ZA |
| Published: |
Stellenbosch : University of Stellenbosch
2010
|
| Subjects: | |
| Tags: |
No Tags, Be the first to tag this record!
|
| _version_ | 1867614014584913920 |
|---|---|
| access_status_str | Open Access |
| author | Van Zyl, Jacobus |
| author2 | Omlin, Christian W. |
| author_browse | Omlin, Christian W. Van Zyl, Jacobus |
| author_facet | Omlin, Christian W. Van Zyl, Jacobus |
| author_sort | Van Zyl, Jacobus |
| collection | Thesis |
| dc_rights_str_mv | University of Stellenbosch |
| description | Thesis (MSc (Computer Science))-- University of Stellenbosch, 2001. |
| format | Thesis |
| id | oai:scholar.sun.ac.za:10019.1/4580 |
| institution | Stellenbosch University (South Africa) |
| language | en_ZA |
| last_indexed | 2026-06-10T12:45:17.761Z |
| license_str | Other — see source repository |
| provenance_str_mv | Harvested via OAI-PMH from SUNScholar — Stellenbosch University Repository |
| publishDate | 2010 |
| publishDateRange | 2010 |
| publishDateSort | 2010 |
| publisher | Stellenbosch : University of Stellenbosch |
| publisherStr | Stellenbosch : University of Stellenbosch |
| record_format | dspace |
| source_str | SUNScholar — Stellenbosch University Repository |
| spelling | oai:scholar.sun.ac.za:10019.1/4580 Modelling chaotic systems with neural networks : application to seismic event predicting in gold mines Van Zyl, Jacobus Omlin, Christian W. Van der Walt, Andries P. J. University of Stellenbosch. Faculty of Science. Dept. of Mathematical Sciences. Computer Science. Attractors Seismic monitoring and prediction Seismic time series Dissertations -- Computer science Theses -- Computer science Neural networks (Computer science) Chaotic behavior in systems Seismic event location -- Data processing Thesis (MSc (Computer Science))-- University of Stellenbosch, 2001. ENGLISH 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. AFRIKAANSE 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. Integrated Seismic Systems International 2010-08-31T13:33:20Z 2010-08-31T13:33:20Z 2001-12 Thesis http://hdl.handle.net/10019.1/4580 en_ZA University of Stellenbosch application/pdf Stellenbosch : University of Stellenbosch |
| spellingShingle | Attractors Seismic monitoring and prediction Seismic time series Dissertations -- Computer science Theses -- Computer science Neural networks (Computer science) Chaotic behavior in systems Seismic event location -- Data processing Van Zyl, Jacobus Modelling chaotic systems with neural networks : application to seismic event predicting in gold mines |
| title | Modelling chaotic systems with neural networks : application to seismic event predicting in gold mines |
| title_full | Modelling chaotic systems with neural networks : application to seismic event predicting in gold mines |
| title_fullStr | Modelling chaotic systems with neural networks : application to seismic event predicting in gold mines |
| title_full_unstemmed | Modelling chaotic systems with neural networks : application to seismic event predicting in gold mines |
| title_short | Modelling chaotic systems with neural networks : application to seismic event predicting in gold mines |
| title_sort | modelling chaotic systems with neural networks application to seismic event predicting in gold mines |
| topic | Attractors Seismic monitoring and prediction Seismic time series Dissertations -- Computer science Theses -- Computer science Neural networks (Computer science) Chaotic behavior in systems Seismic event location -- Data processing |
| url | http://hdl.handle.net/10019.1/4580 |
| work_keys_str_mv | AT vanzyljacobus modellingchaoticsystemswithneuralnetworksapplicationtoseismiceventpredictingingoldmines |