Application of BP Neural Network Algorithm in Traditional Hydrological Model for Flood Forecasting
Flooding contributes to tremendous hazards every year; more accurate forecasting may significantly mitigate the damages and loss caused by flood disasters. Current hydrological models are either purely knowledge-based or data-driven. A combination of data-driven method (artificial neural networks in...
| Main Authors: | , , , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2017-01-01
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| Series: | Water |
| Subjects: | |
| Online Access: | http://www.mdpi.com/2073-4441/9/1/48 |