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