Keyword Search:

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

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

[img] PDF
635Kb

Abstract

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.

Item Type:Thesis (Masters)
Subject:Neural networks (Computer science) - Malaysia.
Subject:Manufacturing industries - Forecasting - Malaysia.
Chairman Supervisor:Dr. Norwati Binti Mustapha
Call Number:FSKTM 2006 10
Faculty or Institute:Faculty of Computer Science and Information Technology
ID Code:5873
Deposited By: Nur Izyan Mohd Zaki
Deposited On:05 May 2010 08:00
Last Modified:27 May 2013 07:25

Repository Staff Only: Edit item detail

Document Download Statistics

This item has been downloaded for since 05 May 2010 08:00.

View statistics for "Forecasting The Growth of Manufacturing Industry in Malaysia Using Artificial Neural Network"

 
 
 
 

Universiti Putra Malaysia Institutional Repository is powered by EPrints 3 which is developed by the School of Electronics and Computer Science at the University of Southampton. More information and software credits.
Universiti Putra Malaysia Institutional Repository supports OAI 2.0 with a base URL of http://psasir.upm.edu.my/cgi/oai2
Best viewed using IE version 7.0 (and above) Mozilla Firefox version 3 (and above) with the resolution of 1024 x 768.