Open AccessMulti Layer Perceptron Modelling in the Housing Market
Author(s) -
Ku Ruhana Ku-Mahamud,
Azuraliza Abu Bakar,
Norita Md Norwawi
Publication year - 2020
Publication title -
malaysian management journal/malaysian management journal
Language(s) - English
Resource type - Journals
eISSN - 2289-6651
pISSN - 0128-6226
DOI - 10.32890/mmj.3.1.1999.8558
Subject(s) - kuala lumpur , real estate , perceptron , layer (electronics) , multilayer perceptron , econometrics , regression analysis , artificial neural network , computer science , predictive modelling , artificial intelligence , statistics , machine learning , economics , mathematics , business , finance , marketing , chemistry , organic chemistry
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.