Artificial neural network modelling and flood water level prediction using extended Kalman filter
Accurate flood water level prediction are essential for reliable flood forecasting modelling. Although back propagation neural network (BPN) offer advantages for flood water level prediction, nonlinearity due to input parameters are the major issue to this modelling. A novel Extended Kalman Filter (...
| Published in: | Proceedings - 2012 IEEE International Conference on Control System, Computing and Engineering, ICCSCE 2012 |
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| Main Author: | |
| Format: | Conference paper |
| Language: | English |
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IEEE Computer Society
2012
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| Online Access: | https://www.scopus.com/inward/record.uri?eid=2-s2.0-84875980418&doi=10.1109%2fICCSCE.2012.6487204&partnerID=40&md5=2589d7478e47a71fada3666be0d2096d |