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...
Saved in:
| Main Author: | |
|---|---|
| Format: | Thesis |
| Language: | English |
| Published: |
2006
|
| Subjects: | |
| Online Access: | http://psasir.upm.edu.my/id/eprint/5873/1/FSKTM_2006_10%20IR.pdf |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| Summary: | 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. |
|---|