Title page for ETD etd-07072010-144503


Document Type Master's Dissertation
Author Uys, Eben
Email ebenu@lightstone.co.za
URN etd-07072010-144503
Document Title An investigation into using neural networks for statistical classification and regression
Degree MSc
Department Statistics
Supervisor
Advisor Name Title
Dr L Fletcher Committee Chair
Keywords
  • automated valuation model
  • statistical classification neural network
  • neural network statistics
Date 2010-09-02
Availability unrestricted
Abstract

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 ecient 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.

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.

Please cite as follows:

Uys, EM 2010, An investigation into using neural networks for statistical classification and regression, MSc dissertation, University of Pretoria, Pretoria, viewed yymmdd < http://upetd.up.ac.za/thesis/available/etd-07072010-144503/ >

C10/526/gm

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