Forecasting The Growth of Manufacturing Industry in Malaysia Using Artificial Neural Network
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 predicti...
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my-upm-ir.58732022-01-19T02:39:41Z Forecasting The Growth of Manufacturing Industry in Malaysia Using Artificial Neural Network 2006-12 Zakaria, Norzaini 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. Neural networks (Computer science) - Malaysia Manufacturing industries - Forecasting - Malaysia 2006-12 Thesis http://psasir.upm.edu.my/id/eprint/5873/ http://psasir.upm.edu.my/id/eprint/5873/1/FSKTM_2006_10%20IR.pdf text en public masters Universiti Putra Malaysia Neural networks (Computer science) - Malaysia Manufacturing industries - Forecasting - Malaysia Computer Science and Information Technology Mustapha, Norwati |
institution |
Universiti Putra Malaysia |
collection |
PSAS Institutional Repository |
language |
English |
advisor |
Mustapha, Norwati |
topic |
Neural networks (Computer science) - Malaysia Manufacturing industries - Forecasting - Malaysia |
spellingShingle |
Neural networks (Computer science) - Malaysia Manufacturing industries - Forecasting - Malaysia Zakaria, Norzaini Forecasting The Growth of Manufacturing Industry in Malaysia Using Artificial Neural Network |
description |
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. |
format |
Thesis |
qualification_level |
Master's degree |
author |
Zakaria, Norzaini |
author_facet |
Zakaria, Norzaini |
author_sort |
Zakaria, Norzaini |
title |
Forecasting The Growth of Manufacturing Industry in Malaysia Using Artificial Neural Network |
title_short |
Forecasting The Growth of Manufacturing Industry in Malaysia Using Artificial Neural Network |
title_full |
Forecasting The Growth of Manufacturing Industry in Malaysia Using Artificial Neural Network |
title_fullStr |
Forecasting The Growth of Manufacturing Industry in Malaysia Using Artificial Neural Network |
title_full_unstemmed |
Forecasting The Growth of Manufacturing Industry in Malaysia Using Artificial Neural Network |
title_sort |
forecasting the growth of manufacturing industry in malaysia using artificial neural network |
granting_institution |
Universiti Putra Malaysia |
granting_department |
Computer Science and Information Technology |
publishDate |
2006 |
url |
http://psasir.upm.edu.my/id/eprint/5873/1/FSKTM_2006_10%20IR.pdf |
_version_ |
1747810499613949952 |