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 (...
| الحاوية / القاعدة: | Proceedings - 2012 IEEE International Conference on Control System, Computing and Engineering, ICCSCE 2012 |
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| المؤلف الرئيسي: | |
| التنسيق: | Conference paper |
| اللغة: | English |
| منشور في: |
IEEE Computer Society
2012
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| الوصول للمادة أونلاين: | https://www.scopus.com/inward/record.uri?eid=2-s2.0-84875980418&doi=10.1109%2fICCSCE.2012.6487204&partnerID=40&md5=2589d7478e47a71fada3666be0d2096d |