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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| Format: | Thesis |
| Language: | English |
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2006
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| Online Access: | http://psasir.upm.edu.my/id/eprint/5873/ http://psasir.upm.edu.my/id/eprint/5873/1/FSKTM_2006_10%20IR.pdf |
| _version_ | 1848840219706523648 |
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| author | Zakaria, Norzaini |
| author_facet | Zakaria, Norzaini |
| author_sort | Zakaria, Norzaini |
| building | UPM Institutional Repository |
| collection | Online Access |
| 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. |
| first_indexed | 2025-11-15T07:23:52Z |
| format | Thesis |
| id | upm-5873 |
| institution | Universiti Putra Malaysia |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-15T07:23:52Z |
| publishDate | 2006 |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | upm-58732022-01-19T02:39:41Z http://psasir.upm.edu.my/id/eprint/5873/ Forecasting The Growth of Manufacturing Industry in Malaysia Using Artificial Neural Network 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. 2006-12 Thesis NonPeerReviewed text en http://psasir.upm.edu.my/id/eprint/5873/1/FSKTM_2006_10%20IR.pdf Zakaria, Norzaini (2006) Forecasting The Growth of Manufacturing Industry in Malaysia Using Artificial Neural Network. Masters thesis, Universiti Putra Malaysia. 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 |
| title | 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_short | 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 |
| topic | Neural networks (Computer science) - Malaysia Manufacturing industries - Forecasting - Malaysia |
| url | http://psasir.upm.edu.my/id/eprint/5873/ http://psasir.upm.edu.my/id/eprint/5873/1/FSKTM_2006_10%20IR.pdf |