Multi Layer Perceptron Modelling in the Housing Market

Multi Layer Perceptron Modelling in the Housing Market

The study examines the use of multi layer perception network (MLP) in predicting the price of terrace houses in Kuala Lumpur (KL). Nine factors that significantly influence the price were used in this attempt. Housing data from 1994 to 1996 were presented to the network for training. Tested results...

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Bibliographic Details
Main Authors: Ku Ku Mahamud, Azuraliza Abu Bakar, Norita Md. Norwawi
Format: Article
Language:English
Published: UUM Press 2020-01-01
Series:Malaysian Management Journal
Online Access:https://www.scienceopen.com/document?vid=d87a953a-1d32-40ea-b62a-1c05c53fc310
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spelling doaj-b76161ef65b6439b93c58b043dac3fb72021-08-03T00:25:09ZengUUM PressMalaysian Management Journal0128-62262020-01-0110.32890/mmj.3.1.1999.8558Multi Layer Perceptron Modelling in the Housing MarketKu Ku MahamudAzuraliza Abu BakarNorita Md. NorwawiThe study examines the use of multi layer perception network (MLP) in predicting the price of terrace houses in Kuala Lumpur (KL). Nine factors that significantly influence the price were used in this attempt. Housing data from 1994 to 1996 were presented to the network for training. Tested results from the model obtained for various years were compared using regression analysis. The study provides the predictive ability of the trained MLP model that can be used as an alternative predictor in real estate analysis.  https://www.scienceopen.com/document?vid=d87a953a-1d32-40ea-b62a-1c05c53fc310
collection DOAJ
language English
format Article
sources DOAJ
author Ku Ku Mahamud
Azuraliza Abu Bakar
Norita Md. Norwawi
spellingShingle Ku Ku Mahamud
Azuraliza Abu Bakar
Norita Md. Norwawi
Multi Layer Perceptron Modelling in the Housing Market
Malaysian Management Journal
author_facet Ku Ku Mahamud
Azuraliza Abu Bakar
Norita Md. Norwawi
author_sort Ku Ku Mahamud
title Multi Layer Perceptron Modelling in the Housing Market
title_short Multi Layer Perceptron Modelling in the Housing Market
title_full Multi Layer Perceptron Modelling in the Housing Market
title_fullStr Multi Layer Perceptron Modelling in the Housing Market
title_full_unstemmed Multi Layer Perceptron Modelling in the Housing Market
title_sort multi layer perceptron modelling in the housing market
publisher UUM Press
series Malaysian Management Journal
issn 0128-6226
publishDate 2020-01-01
description The study examines the use of multi layer perception network (MLP) in predicting the price of terrace houses in Kuala Lumpur (KL). Nine factors that significantly influence the price were used in this attempt. Housing data from 1994 to 1996 were presented to the network for training. Tested results from the model obtained for various years were compared using regression analysis. The study provides the predictive ability of the trained MLP model that can be used as an alternative predictor in real estate analysis.  
url https://www.scienceopen.com/document?vid=d87a953a-1d32-40ea-b62a-1c05c53fc310
work_keys_str_mv AT kukumahamud multilayerperceptronmodellinginthehousingmarket
AT azuralizaabubakar multilayerperceptronmodellinginthehousingmarket
AT noritamdnorwawi multilayerperceptronmodellinginthehousingmarket
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