Developing NARX Neural Networks for Accurate Water Level Forecasting
A reliable model for predicting fluctuations in water levels in the reservoir is essential for effective planning to manage the potential risks of flooding. A nonlinear autoregressive network with exogenous inputs (NARX) model is proposed to predict the water level of the Temengor Reservoir, Perak i...
Saved in:
| Main Authors: | , , |
|---|---|
| Other Authors: | |
| Format: | Book chapter |
| Published: |
Springer Science and Business Media Deutschland GmbH
2024
|
| Subjects: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| Institution: | Universiti Tenaga Nasional |