APPLICATION OF ARTIFICIAL NEURAL NETWORK IN TIDAL FORECASTING
A back-propagation neural network (BPN) is developed and trained using observations at twenty -one geographically scattered tidal stations under the tidal observation network (TON) established by JUPEM, Malaysia.
Saved in:
| Main Author: | |
|---|---|
| Format: | Thesis Book |
| Language: | English |
| Published: |
Shah Alam, Selangor
Universiti Teknologi MARA. Fakulti Kejuruteraan Awam
2007
|
| Subjects: | |
| Online Access: | Click Here to View Status and Holdings. |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Add Tag | Summary: | A back-propagation neural network (BPN) is developed and trained using observations at twenty -one geographically scattered tidal stations under the tidal observation network (TON) established by JUPEM, Malaysia. |
|---|---|
| Item Description: | UiTM Digitized |
| Physical Description: | xi, 55 pages illustrations 30 cm |
| Bibliography: | Includes bibliographical references |
Artificial neural network forecasting times series