Forecasting on House Price Index using Artificial Neural Network

Forecasting on House Price Index using Artificial Neural Network

Forecasting the residential property sector is a crucial component in the decision-making process for investors and government in supporting asset allocation, developing property finance plans and implementing a relevant policy. The purpose of this study is to examine the determinants of Penang hous...

Full description

Bibliographic Details
Main Authors:	Gobalkrishnan, Gangaieisvari, Md Yusof, Zahayu
Format:	Article
Language:	English
Published:	Universiti Pendidikan Sultan Idris 2023
Subjects:	QA Mathematics
Online Access:	https://repo.uum.edu.my/id/eprint/30937/1/JCIT%2013%2002%202023%2044-60.pdf https://doi.org/10.37134/jcit.vol13.2.5.2023

Similar Items

Comparison of Double Exponential Smoothing for Holt’s Method and Artificial Neural Network in Forecasting the Malaysian Banking Stock Markets
by: Zaini, Bahtiar Jamili, et al.
Published: (2020)

The Use of Artificial Neural Network for Forecasting of FTSE Bursa Malaysia KLCI Stock Price Index
by: Ardiansyah, Soleh, et al.
Published: (2013)

Housing loan evaluation system using artificial neural network
by: Azmi Raif Nur, Abd Wahab
Published: (2011)

Forecasting Natural Rubber Price in Malaysia by 2030
by: Mohamad Norizan, Nor Farah Hanim, et al.
Published: (2021)

Rainfall intensity forecast using ensemble artificial neural network and data fusion for tropical climate
by: Noor Zuraidin, Mohd Safar, et al.
Published: (2020)

Texture recognition by using artificial neural network
by: Foong, Lee Sai
Published: (2013)

Electricity price forecasting using ensemble neural networks
by: Nainan Abhay George
Published: (2017)

A Comparison On Neural Network Forecasting.
by: Ong, Hong Choon, et al.
Published: (2011)

Hyperparameter tuning of deep neural network in time series forecasting
by: Xiang, Kelly Pang Li, et al.
Published: (2024)

Short term electricity price forecasting using neural network
by: W. A. R, Intan Azmira, et al.
Published: (2013)

Comparison of time series forecasting methods using neural networks and Box-Jenkins model.
by: Shabri, Ani
Published: (2001)

Time Series Analysis and Forecasting Techniques for Foreign Direct Investment
by: Abdul Rahim, Ummi Rohaizad, et al.
Published: (2020)

Crime index trends and patterns in Kelantan
by: Muhamad, N., et al.
Published: (2021)

Load forecasting using combination model of multiple linear regression with neural network for Malaysian City
by: Kamisan, Nur Arina Bazilah, et al.
Published: (2018)

Predicting protein secondary structure using artificial neural networks and information theory
by: Abdalla, Saad Osman
Published: (2005)

Rainfall Forecasting with Time Series Model in Alor Setar, Kedah
by: Mohamad Fudzi, Faiqah, et al.
Published: (2021)

Rainfall Forecasting with Time Series Model in Alor Setar, Kedah
by: Mohamad Fudzi, Faiqah, et al.
Published: (2020)

Forecasting of Paracetamol Demand in UMMC Pharmacy
by: Supadi, Siti Suzlin, et al.
Published: (2021)

Comparison of double exponential smoothing for holt's method and artificial neural network in forecasting the Malaysian banking stock markets
by: Bahtiar Jamili Zaini, et al.
Published: (2020)

Uncertainty analysis for the unknown function using artificial neural network (ANN) approximated function
by: Siti Hajar, Mohd Noh
Published: (2010)

Predicting house price with a memristor-based artificial neural network
by: Wang, J. J., et al.
Published: (2018)

Forecasting resale house prices using machine learning models
by: Krithika Jayaraman Karthikeyan
Published: (2024)

Foreign Exchange Forecasting by using Artificial Neural Networks: A Survey of Literature
by: Ardiansyah, Soleh, et al.
Published: (2012)

Flow forecasting using artificial neural networks
by: Tan, Eugene.
Published: (2009)

Uncertainty propagation analysis of artificial neural network (ANN) approximated function using numerical and analytical method
by: Kamal Ariffin, Mohamad
Published: (2009)

Developing a hybrid hidden MARKOV model using fusion of ARMA model and artificial neural network for crude oil price forecasting
by: Isah, Nuhu
Published: (2020)

ARIMA and symmetric GARCH-type models in forecasting Malaysia gold price
by: Siti Roslindar, Yaziz, et al.
Published: (2019)

Uncertainty analysis of artificial neural network (ANN) aproximated function for experimental data using sequential perturbation method
by: Mohd Jukimi, Joni
Published: (2009)

Housing price prediction using neural network
by: Sng, Pei Wen
Published: (2018)

Housing price prediction using neural networks
by: Liu, Zhaoying
Published: (2016)

Housing price prediction using neural networks
by: Chan, Fung Foong
Published: (2014)

Preliminary Analysis on Hybrid Box-Jenkins - GARCH Modeling In Forecasting Gold Price
by: Siti Roslindar, Yaziz, et al.
Published: (2015)

Forecasting the Malaysian crude palm oil price during COVID-19 pandemic
by: Megat Muainuddin, Megat Muhammad Afif, et al.
Published: (2021)

Empirical Mode Decomposition based on Theta Method for Forecasting Daily Stock Price
by: Hossain, Mohammad Raquibul, et al.
Published: (2020)

Forecasting Performance Of Cascade Forward Back Propagation Neural Network For Data With Outliers
by: Mamuda, Mamman
Published: (2017)

Heavy Rainfall Forecasting Model Using Artificial Neural Network for Flood Prone Area
by: Junaida, Sulaiman, et al.
Published: (2018)

Artificial neural network and support vector machine in flood forecasting: A review
by: Suliman, Azizah, et al.
Published: (2013)

Applying Artificial Neural Networks in Forecasting US Dollars-Indonesian Rupiah Exchange
by: Ardiansyah, Soleh, et al.
Published: (2013)

An improved bat algorithm with artificial neural networks for classification problems
by: Rehman Gillani, Syed Muhammad Zubair
Published: (2016)

Forecasting gold prices using multiple linear regression method
by: Ismail, Zuhaimy, et al.
Published: (2009)