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