Use of empirical mode decomposition in improving neural network forecasting of paddy price
Since rice is a staple food in Malaysia, its price fluctuations pose risks to the producers, suppliers and consumers. Hence, an accurate prediction of paddy price is essential to aid the planning and decision-making in related organizations. The artificial neural network (ANN) has been widely used a...
Saved in:
| Main Authors: | , , |
|---|---|
| Format: | Article |
| Published: |
Penerbit UTM Press
2019
|
| Subjects: | |
| Online Access: | http://eprints.utm.my/id/eprint/89431/ http://dx.doi.org/10.11113/matematika.v35.n4.1263 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| Institution: | Universiti Teknologi Malaysia |