Artificial neural networks modelling for mass appraisal of properties

Artificial neural networks modelling for mass appraisal of properties

This thesis extends the use of artificial neural networks (ANNs) optimisation and training algorithms including the Powell-Beale conjugate gradient (PBCG), scaled conjugate gradient (SCG) and a hybrid system of particle swarm optimisation (PSO) with the traditional back propagation (BP) in mass appr...

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Bibliographic Details
Main Author: Yacim, Joseph Awoamim
Other Authors: Boshoff, Douw G.B.
Language:en
Published: University of Pretoria 2018
Subjects:
Property valuation
Mass appraisal
Artificial intelligence
Neural networks
UCTD
Online Access:http://hdl.handle.net/2263/64741
Yacim, JA 2017, Artificial neural networks modelling for mass appraisal of properties, PhD Thesis, University of Pretoria, Pretoria, viewed yymmdd <http://hdl.handle.net/2263/64741>

Internet

http://hdl.handle.net/2263/64741
Yacim, JA 2017, Artificial neural networks modelling for mass appraisal of properties, PhD Thesis, University of Pretoria, Pretoria, viewed yymmdd <http://hdl.handle.net/2263/64741>

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