Hidden neuron variation in multi-layer perceptron for flood water level prediction at Kusial station

2016 IEEE 12th International Colloquium on Signal Processing & Its Applications (CSPA) ◽

10.1109/cspa.2016.7515858 ◽

2016 ◽

Cited By ~ 2

Author(s):

Khairah Jaafar ◽

Nurlaila Ismail ◽

Mazidah Tajjudin ◽

Ramli Adnan ◽

Mohd Hezri Fazalul Rahiman

Keyword(s):

Water Level ◽

Multi Layer Perceptron ◽

Flood Water ◽

Water Level Prediction

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Flood water level prediction modeling using NNARX structure for Sg Pahang basin

2015 IEEE International Conference on Control System, Computing and Engineering (ICCSCE) ◽

10.1109/iccsce.2015.7482245 ◽

2015 ◽

Author(s):

Fazlina Ahmat Ruslan ◽

Abd Manan Samad ◽

Mazidah Tajjudin ◽

Ramli Adnan

Keyword(s):

Water Level ◽

Prediction Modeling ◽

Flood Water ◽

Water Level Prediction

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3 Hours ahead of time flood water level prediction using NNARX structure: Case study pahang

2016 7th IEEE Control and System Graduate Research Colloquium (ICSGRC) ◽

10.1109/icsgrc.2016.7813309 ◽

2016 ◽

Cited By ~ 4

Author(s):

Noor Ashikin Rohaimi ◽

Fazlina Ahmat Ruslan ◽

Ramli Adnan

Keyword(s):

Water Level ◽

Flood Water ◽

Water Level Prediction

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Computationally efficient flood water level prediction (with uncertainty)

Flood Risk Management: Research and Practice ◽

10.1201/9780203883020.ch34 ◽

2008 ◽

pp. 281-289 ◽

Cited By ~ 5

Author(s):

Keith Beven ◽

Peter Young ◽

David Leedal ◽

Renata Romanowicz

Keyword(s):

Water Level ◽

Computationally Efficient ◽

Flood Water ◽

Water Level Prediction

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5 Hours ahead of time flood water level prediction modelling using NNARX technique: Case study terengganu

2016 7th IEEE Control and System Graduate Research Colloquium (ICSGRC) ◽

10.1109/icsgrc.2016.7813310 ◽

2016 ◽

Cited By ~ 1

Author(s):

Qammarul Arieff Lukman ◽

Fazlina Ahmat Ruslan ◽

Ramli Adnan

Keyword(s):

Water Level ◽

Flood Water ◽

Prediction Modelling ◽

Water Level Prediction

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3 Hours flood water level prediction using NNARX structure: Case study Kuala Lumpur

2016 International Conference on Frontiers of Information Technology (FIT) ◽

10.1109/fit.2016.7857537 ◽

2016 ◽

Author(s):

Fazlina Ahmat Ruslan ◽

Abd Manan Samad ◽

Ramli Adnan

Keyword(s):

Water Level ◽

Kuala Lumpur ◽

Flood Water ◽

Water Level Prediction

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A CASE STUDY OF FLOOD WATER LEVEL PREDICTION IN THE TOKORO RIVER IN 2016 USING RECURRENT NEURAL NETWORKS

Journal of Japan Society of Civil Engineers Ser B1 (Hydraulic Engineering) ◽

10.2208/jscejhe.74.5_i_1369 ◽

2018 ◽

Vol 74 (5) ◽

pp. I_1369-I_1374 ◽

Cited By ~ 1

Author(s):

Koki YAMADA ◽

Yosuke KOBAYASHI ◽

Makoto NAKATSUGAWA ◽

Jay KISHIGAMI

Keyword(s):

Neural Networks ◽

Water Level ◽

Recurrent Neural Networks ◽

Flood Water ◽

Water Level Prediction

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Modeling of flood water level prediction using improved RBFNN structure

2015 IEEE International Conference on Control System, Computing and Engineering (ICCSCE) ◽

10.1109/iccsce.2015.7482246 ◽

2015 ◽

Cited By ~ 5

Author(s):

Ramli Adnan ◽

Abd Manan Samad ◽

Mazidah Tajjudin ◽

Fazlina Ahmat Ruslan

Keyword(s):

Water Level ◽

Flood Water ◽

Water Level Prediction

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Artificial neural network modelling and flood water level prediction using extended Kalman filter

2012 IEEE International Conference on Control System, Computing and Engineering ◽

10.1109/iccsce.2012.6487204 ◽

2012 ◽

Cited By ~ 9

Author(s):

Ramli Adnan ◽

Fazlina Ahmat Ruslan ◽

Abd Manan Samad ◽

Zainazlan Md Zain

Keyword(s):

Neural Network ◽

Artificial Neural Network ◽

Kalman Filter ◽

Water Level ◽

Extended Kalman Filter ◽

Network Modelling ◽

Flood Water ◽

Neural Network Modelling ◽

Artificial Neural Network Modelling ◽

Water Level Prediction

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3 hours flood water level prediction using NNARX structure: Case study Kuala Lumpur

2016 6th International Conference on System Engineering and Technology (ICSET) ◽

10.1109/icsengt.2016.7849622 ◽

2016 ◽

Author(s):

Fazlina Ahmat Ruslan ◽

Abd Manan Samad ◽

Ramli Adnan

Keyword(s):

Water Level ◽

Kuala Lumpur ◽

Flood Water ◽

Water Level Prediction

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A PROPOSED METHOD FOR FLOOD WATER LEVEL PREDICTION USING THE RANDOM FOREST METHOD

Journal of Japan Society of Civil Engineers Ser B1 (Hydraulic Engineering) ◽

10.2208/jscejhe.74.i_1459 ◽

2018 ◽

Vol 74 (4) ◽

pp. I_1459-I_1464

Author(s):

Ryota OKAZAKI ◽

Makoto NAKATSUGAWA ◽

Yosuke KOBAYASHI

Keyword(s):

Random Forest ◽

Water Level ◽

Flood Water ◽

Random Forest Method ◽

Water Level Prediction

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