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Training support vector machines with particle swarms
Dissertation (MSc)--University of Pretoria, 2007.
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| Format: | Thesis |
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University of Pretoria
2013
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| _version_ | 1867613703644381184 |
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| access_status_str | Open Access |
| author2 | Engelbrecht, Andries P. |
| author_browse | Engelbrecht, Andries P. |
| author_facet | Engelbrecht, Andries P. |
| collection | Thesis |
| dc_rights_str_mv | © 2004, University of Pretoria. All rights reserved. The copyright in this work vests in the University of Pretoria. No part of this work may be reproduced or transmitted in any form or by any means, without the prior written permission of the University of Pretoria. |
| description | Dissertation (MSc)--University of Pretoria, 2007. |
| format | Thesis |
| id | oai:repository.up.ac.za:2263/27064 |
| institution | University of Pretoria (South Africa) |
| last_indexed | 2026-06-10T12:40:22.099Z |
| license_str | Other — see source repository |
| provenance_str_mv | Harvested via OAI-PMH from UPSpace — University of Pretoria Institutional Repository |
| publishDate | 2013 |
| publishDateRange | 2013 |
| publishDateSort | 2013 |
| publisher | University of Pretoria |
| publisherStr | University of Pretoria |
| record_format | dspace |
| source_str | UPSpace — University of Pretoria Institutional Repository |
| spelling | oai:repository.up.ac.za:2263/27064 Training support vector machines with particle swarms Engelbrecht, Andries P. Paquet, Ulrich Mathematical organization computer programs Computer algoriths Machine learning Stochastic processes Artificial intelligence computer programs UCTD Dissertation (MSc)--University of Pretoria, 2007. Particle swarms can easily be used to optimize a function with a set of linear equality constraints, by restricting the swarm’s movement to the constrained search space. A “Linear Particle Swarm Optimiser” and “Converging Linear Particle Swarm Optimiser” is developed to optimize linear equality-constrained functions. It is shown that if the entire swarm of particles is initialized to consist of only feasible solutions, then the swarm can optimize the constrained objective function without ever again considering the set of constraints. The Converging Linear Particle Swarm Optimiser overcomes the Linear Particle Swarm Optimiser’s possibility of premature convergence. Training a Support Vector Machine requires solving a constrained quadratic programming problem, and the Converging Linear Particle Swarm Optimiser ideally fits the needs of an optimization method for Support Vector Machine training. Particle swarms are intuitive and easy to implement, and is presented as an alternative to current numeric Support Vector Machine training methods. Computer Science Unrestricted 2013-09-07T10:21:29Z 2007-08-06 2013-09-07T10:21:29Z 2004-04-27 2007-08-06 2007-08-06 Dissertation Paquet, U 2004, Training support vector machines with particle swarms, MSc dissertation, University of Pretoria, Pretoria, viewed yymmdd < http://hdl.handle.net/2263/27064 > http://hdl.handle.net/2263/27064 http://upetd.up.ac.za/thesis/available/etd-08062007-130341/ © 2004, University of Pretoria. All rights reserved. The copyright in this work vests in the University of Pretoria. No part of this work may be reproduced or transmitted in any form or by any means, without the prior written permission of the University of Pretoria. application/pdf application/pdf application/pdf application/pdf application/pdf application/pdf application/pdf application/pdf application/pdf University of Pretoria |
| spellingShingle | Mathematical organization computer programs Computer algoriths Machine learning Stochastic processes Artificial intelligence computer programs UCTD Training support vector machines with particle swarms |
| title | Training support vector machines with particle swarms |
| title_full | Training support vector machines with particle swarms |
| title_fullStr | Training support vector machines with particle swarms |
| title_full_unstemmed | Training support vector machines with particle swarms |
| title_short | Training support vector machines with particle swarms |
| title_sort | training support vector machines with particle swarms |
| topic | Mathematical organization computer programs Computer algoriths Machine learning Stochastic processes Artificial intelligence computer programs UCTD |
| url | http://hdl.handle.net/2263/27064 http://upetd.up.ac.za/thesis/available/etd-08062007-130341/ |