Predicting GDP growth in Malaysia using knowledge-based economy indicators : a comparison between neural network and econometric approaches

Predicting GDP growth in Malaysia using knowledge-based economy indicators : a comparison between neural network and econometric approaches

In recent years, neural network techniques have been increasingly used for a wide variety of applications where statistical methods had been traditionally employed. Neural network techniques, for example, have been applied to problems like chemical process control, seismic signals interpretation, ma...

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Bibliographic Details
Main Author: Mohd Zukime Hj Mat Junoh
Format: Article
Language:English
Published: Sunway University College 2004
Subjects:
HC Economic History and Conditions
Online Access:http://eprints.sunway.edu.my/9/
http://eprints.sunway.edu.my/9/1/Predicting%20GDP%20growth%20in%20Malaysia%20using%20knowledge-based%20economy%20indicators%20%20a%20comparison%20between%20neural%20network%20and%20econometric%20approaches.pdf

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