Improving fuzzy-based model for seasonal river flow forecasting
Accurate river flow forecasts play a key role in sustainable water resources and environmental management. Recently, computational intelligence approaches have become increasingly popular due to minimum information requirements and their ability to simulate nonlinear and non-stationary characteristi...
| Main Authors: | Sarukkalige, Priyantha Ranjan, Badrzadeh, Honey |
|---|---|
| Other Authors: | Jim Davies |
| Format: | Conference Paper |
| Published: |
Engineers Australia
2014
|
| Subjects: | |
| Online Access: | http://hdl.handle.net/20.500.11937/6010 |
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