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Forecasting The Growth of Manufacturing Industry in Malaysia Using Artificial Neural Network


Citation

Zakaria, Norzaini (2006) Forecasting The Growth of Manufacturing Industry in Malaysia Using Artificial Neural Network. Masters thesis, Universiti Putra Malaysia.

Abstract / Synopsis

An Artificial Neural Network (ANN) formulation for forecasting the growth of manufacturing industries in Malaysia is presented. The effectiveness of ANN for predicting one criterion, Y form several predictors, X, is investigated. Comparative studies are examined between the result of the predictions from the ANN model trained with Multi-Layer Feed forward Perception, a Generalised Regressions Neural Network (GRNN) algorithm and the result obtained from traditional statistical approach.


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Additional Metadata

Item Type: Thesis (Masters)
Subject: Neural networks (Computer science) - Malaysia.
Subject: Manufacturing industries - Forecasting - Malaysia.
Call Number: FSKTM 2006 10
Chairman Supervisor: Dr. Norwati Binti Mustapha
Divisions: Faculty of Computer Science and Information Technology
Depositing User: Nur Izyan Mohd Zaki
Date Deposited: 05 May 2010 16:00
Last Modified: 27 May 2013 15:25
URI: http://psasir.upm.edu.my/id/eprint/5873
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