Eres : Digital Library : Works

Paper eres2001_239:
New Statistical Technologies applied to the estimation of the free Housing Prices: Artificial Neural Networks

id eres2001_239
authors Montero Lorenzo, Josť Maria,
year 2001
title New Statistical Technologies applied to the estimation of the free Housing Prices: Artificial Neural Networks
source 8th European Real Estate Society Conference (26-29 June 2001) Alicante, Spain
summary The aim of this research is the use of the artificial neural networks models, specifically Multilayer Perceptrons trained by the algorithm known as Backpropagation to estimate the free housing prices. This methodology allows, through the training of the backpropagated nets, to estimate the houses prices on the basis of some variables, related to the houses, which are considered relevant (location, age, surface, quality, ...), overcoming the linear restrictions characteristic of the traditional statistical models used for this objective. The authors purpose is to show the forecasting power of these techniques as well as to suggest a change in the design of databases which have to do with the real estate market in such a way that the generalized use of this procedure is possible.
series ERES:conference
content file.pdf (853,336 bytes)
discussion No discussions. Post discussion ...
ratings
session Housing prices Signals
last changed 2009/07/10 18:07
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