Flood prediction using NARX neural network and EKF prediction technique: A comparative study
Accurate and reliable flood water level prediction is very difficult to achieve as it is often characterized as chaotic in nature. Prediction using conventional neural network techniques with back propagation algorithm which was widely used does not provide reliable prediction results. Flood water l...
الحاوية / القاعدة: | Proceedings - 2013 IEEE 3rd International Conference on System Engineering and Technology, ICSET 2013 |
---|---|
المؤلف الرئيسي: | 2-s2.0-84891096883 |
التنسيق: | Conference paper |
اللغة: | English |
منشور في: |
2013
|
الوصول للمادة أونلاين: | https://www.scopus.com/inward/record.uri?eid=2-s2.0-84891096883&doi=10.1109%2fICSEngT.2013.6650171&partnerID=40&md5=63ba98e30991dcadcd39f9aa8d68a634 |
مواد مشابهة
-
Artificial neural network modelling and flood water level prediction using extended Kalman filter
بواسطة: 2-s2.0-84875980418
منشور في: (2012) -
Enhancing NARX Neural Network for Agarwood Oil Grading: A Study on Resilient Backpropagation Training Method
بواسطة: 2-s2.0-85219574293
منشور في: (2024) -
Predicting fraudulent financial reporting using artificial neural network
بواسطة: 2-s2.0-85019490600
منشور في: (2017) -
Predictive Modelling Insights with Interpretable NARX - LIME for Geomagnetic Disturbance-Storm-Time Index
بواسطة: Mazlan, وآخرون
منشور في: (2024) -
A neural network students' performance prediction model (NNSPPM)
بواسطة: 2-s2.0-84894188408
منشور في: (2013)