Predicting Macroeconomic Time Series In Malaysia : Using Neural Network Approaches
In recent years, neural networks have received an increasing amount of intention among macroeconomic forecasters because of their potential to detect and reproduce linear and nonlinear relationship among a set of variables. This study provides an introduction to neural networks and its establishment...
Saved in:
Main Author: | Mohd. Zukime, Mat Junoh |
---|---|
Format: | Thesis |
Language: | eng eng |
Published: |
2001
|
Subjects: | |
Online Access: | https://etd.uum.edu.my/353/1/Mohd._Zukime_Hj._Mat_Junoh%2C_2001.pdf https://etd.uum.edu.my/353/2/1.Mohd._Zukime_Hj._Mat_Junoh%2C_2001.pdf |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Multi-agent and artificial neural networks prediction framework development for stock investment strategy
by: Phang, Wai San
Published: (2016) -
The Influence of Macroeconomic Indicators on Economic Growth in Malaysia
by: Nur Hazirah, Md Ludin
Published: (2011) -
Impact of macroeconomic factors on economic growth, agricultural output and export in Nigeria
by: Oluwapemi, Oyetade Oluwatoyese
Published: (2017) -
The Casual Relationship Between Macroeconomic Variables and Economic Growth: Evidence from Algeria Economy
by: Kacemi, Tarek
Published: (2012) -
A comparative study on the impacts of the us monetary Shocks on Macroeconomic Fluctuations under Flexible and Fixed Exchange rate regimes: Malaysia versus Hong Kong
by: Phang, Mei Syuen
Published: (2018)