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An investigation into using neural networks for statistical classification and regression

Dissertation (MSc)--University of Pretoria, 2010.

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Other Authors: Fletcher, Lizelle
Format: Thesis
Published: University of Pretoria 2013
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access_status_str Open Access
author2 Fletcher, Lizelle
author_browse Fletcher, Lizelle
author_facet Fletcher, Lizelle
collection Thesis
dc_rights_str_mv © 2010, 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, 2010.
format Thesis
id oai:repository.up.ac.za:2263/26104
institution University of Pretoria (South Africa)
last_indexed 2026-06-10T12:38:33.011Z
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:2263/26104 An investigation into using neural networks for statistical classification and regression Fletcher, Lizelle ebenu@lightstone.co.za Uys, Eben Automated valuation model Statistical classification neural network Neural network statistics UCTD Dissertation (MSc)--University of Pretoria, 2010. Neural networks are seldom used as a modelling tool by statisticians. This is often due to the lack of knowledge in the eld of neural networks as neural networks are frequently perceived as mysterious methods that evolved from the eld of computer science. In this dissertation an attempt will be made to show that neural network methods are closely related to statistical methods. In particular we will show how a backpropagation neural network can be used for statistical applications like regression and classi cation which will include the setting up a of neural network for di erent objectives and also using a neural network for predictive inference. Through simulations we will show an e cient method to t a neural network in practical applications. A neural network will then be employed in a practical application to illustrate how to use a neural network in a regression or classi cation context. This application will also show the necessity of statistical knowledge when using a neural network as a modelling tool. Statistics unrestricted 2013-09-07T02:32:43Z 2010-09-22 2013-09-07T02:32:43Z 2010-09-02 2010-09-22 2010-07-07 Dissertation Uys, EM 2010, An investigation into using neural networks for statistical classification and regression, MSc dissertation, University of Pretoria, Pretoria, viewed yymmdd < http://hdl.handle.net/2263/26104 > C10/526/gm http://hdl.handle.net/2263/26104 http://upetd.up.ac.za/thesis/available/etd-07072010-144503/ © 2010, 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 University of Pretoria
spellingShingle Automated valuation model
Statistical classification neural network
Neural network statistics
UCTD
An investigation into using neural networks for statistical classification and regression
title An investigation into using neural networks for statistical classification and regression
title_full An investigation into using neural networks for statistical classification and regression
title_fullStr An investigation into using neural networks for statistical classification and regression
title_full_unstemmed An investigation into using neural networks for statistical classification and regression
title_short An investigation into using neural networks for statistical classification and regression
title_sort investigation into using neural networks for statistical classification and regression
topic Automated valuation model
Statistical classification neural network
Neural network statistics
UCTD
url http://hdl.handle.net/2263/26104
http://upetd.up.ac.za/thesis/available/etd-07072010-144503/