Multi Layer Perceptron Modelling in the Housing Market

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Abstract

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.

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Author and article information

Contributors

Ku Ruhana Ku Mahamud: Malaysia

Azuraliza Abu Bakar: Malaysia

Norita Md. Norwawi: Malaysia

Journal

Title: Malaysian Management Journal

Publisher: UUM Press

Publication date (Electronic): February 11 2020

Volume: 3

Pages: 61-69

Affiliations

[1 ]School of Information Technology, Universiti Utara Malaysia

Article

DOI: 10.32890/mmj.3.1.1999.8558

SO-VID: d87a953a-1d32-40ea-b62a-1c05c53fc310

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History

ScienceOpen disciplines: Economic development,Management,International economics & Trade,Industrial organization,Business & Corporate economics

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ScienceOpen disciplines: Economic development, Management, International economics & Trade, Industrial organization, Business & Corporate economics

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