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

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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主要作者: Zakaria, Norzaini
格式: Thesis
语言:English
出版: 2006
主题:
Neural networks (Computer science) - Malaysia
Manufacturing industries - Forecasting - Malaysia
在线阅读:http://psasir.upm.edu.my/id/eprint/5873/1/FSKTM_2006_10%20IR.pdf
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id my-upm-ir.5873
record_format uketd_dc
spelling 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

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