Application of cost-sensitive LSTM in water level prediction for nuclear reactor pressurizer

Jin Zhang; Xiaolong Wang; Cheng Zhao; Wei Bai; Jun Shen; Yang Li; Zhisong Pan; Yexin Duan

doi:10.1016/j.net.2019.12.025

Application of cost-sensitive LSTM in water level prediction for nuclear reactor pressurizer

Nuclear Engineering and Technology ◽

10.1016/j.net.2019.12.025 ◽

2020 ◽

Vol 52 (7) ◽

pp. 1429-1435 ◽

Cited By ~ 3

Author(s):

Jin Zhang ◽

Xiaolong Wang ◽

Cheng Zhao ◽

Wei Bai ◽

Jun Shen ◽

...

Keyword(s):

Water Level ◽

Nuclear Reactor ◽

Water Level Prediction

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Nuclear reactor vessel water level prediction during severe accidents using deep neural networks

Nuclear Engineering and Technology ◽

10.1016/j.net.2018.12.019 ◽

2019 ◽

Vol 51 (3) ◽

pp. 723-730 ◽

Cited By ~ 5

Author(s):

Young Do Koo ◽

Ye Ji An ◽

Chang-Hwoi Kim ◽

Man Gyun Na

Keyword(s):

Neural Networks ◽

Water Level ◽

Deep Neural Networks ◽

Nuclear Reactor ◽

Reactor Vessel ◽

Severe Accidents ◽

Water Level Prediction

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Practical Usages of a Neuro-genetic Programming for Short-term Water Level Prediction

International Conference on Biological, Environment and Food Engineering (BEFE-2014) August 4-5, 2014 Bali (Indonesia) ◽

10.15242/iicbe.c814068 ◽

2014 ◽

Keyword(s):

Genetic Programming ◽

Water Level ◽

Short Term ◽

Water Level Prediction

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River Water Level Prediction in Coastal Catchment using hybridized relevance vector machine model with improved grasshopper optimization

Journal of Hydrology ◽

10.1016/j.jhydrol.2021.126477 ◽

2021 ◽

pp. 126477

Author(s):

Hai Tao ◽

Najah Kadhim Al-Bedyry ◽

Khaled Mohamed Khedher ◽

Shamsuddin Shahid ◽

Zaher Mundher Yaseen

Keyword(s):

Water Level ◽

River Water ◽

Relevance Vector Machine ◽

Machine Model ◽

Grasshopper Optimization ◽

Water Level Prediction

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EXAMINATION OF SHORT-TERM WATER LEVEL PREDICTION MODEL IN LOW-LYING LAKES USING MACHINE LEARNING

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

10.2208/jscejhe.76.2_i_439 ◽

2020 ◽

Vol 76 (2) ◽

pp. I_439-I_444

Author(s):

Masaomi KIMURA ◽

Takahiro ISHIKAWA ◽

Naoto OKUMURA ◽

Issaku AZECHI ◽

Toshiaki IIDA

Keyword(s):

Machine Learning ◽

Prediction Model ◽

Water Level ◽

Short Term ◽

Water Level Prediction

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RIVER WATER LEVEL PREDICTION FROM RAINFALL

Doboku Gakkai Ronbunshuu B ◽

10.2208/jscejb.66.93 ◽

2010 ◽

Vol 66 (1) ◽

pp. 93-98

Author(s):

Toru HIRAOKA ◽

Masataka IKARI ◽

Hiromi YUKI

Keyword(s):

Water Level ◽

River Water ◽

Water Level Prediction

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Neural Network Approach to Coastal High and Low Water Level Prediction

InCIEC 2013 ◽

10.1007/978-981-4585-02-6_24 ◽

2014 ◽

pp. 275-286 ◽

Cited By ~ 3

Author(s):

Wei-Koon Lee ◽

Tuan Asmaa Binti Tuan Resdi

Keyword(s):

Neural Network ◽

Water Level ◽

Network Approach ◽

Neural Network Approach ◽

Water Level Prediction

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Urban Water Flow and Water Level Prediction Based on Deep Learning

Machine Learning and Knowledge Discovery in Databases - Lecture Notes in Computer Science ◽

10.1007/978-3-319-71273-4_26 ◽

2017 ◽

pp. 317-329 ◽

Cited By ~ 9

Author(s):

Haytham Assem ◽

Salem Ghariba ◽

Gabor Makrai ◽

Paul Johnston ◽

Laurence Gill ◽

...

Keyword(s):

Deep Learning ◽

Water Level ◽

Water Flow ◽

Urban Water ◽

Water Level Prediction

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Short term water level prediction based on C-Stacking ensemble model

10.1109/ichceswidr54323.2021.9656410 ◽

2021 ◽

Author(s):

Yu Zhang ◽

Xuechun Liang ◽

Xuebin Lu

Keyword(s):

Water Level ◽

Ensemble Model ◽

Short Term ◽

Water Level Prediction

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Water Level Prediction Based on Polyelement Correlation Analysis and Improved BP Neural Network

2017 International Conference on Network and Information Systems for Computers (ICNISC) ◽

10.1109/icnisc.2017.00061 ◽

2017 ◽

Author(s):

Hong-Peng Sun ◽

Xiao-Ling Xia ◽

Jia-Jin Le ◽

Hao Huang

Keyword(s):

Neural Network ◽

Correlation Analysis ◽

Water Level ◽

Bp Neural Network ◽

Water Level Prediction

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A hybrid machine learning framework for real-time water level prediction in high sediment load reaches

Journal of Hydrology ◽

10.1016/j.jhydrol.2019.124422 ◽

2020 ◽

Vol 581 ◽

pp. 124422 ◽

Cited By ~ 2

Author(s):

Gang Zhao ◽

Bo Pang ◽

Zongxue Xu ◽

Liyang Xu

Keyword(s):

Machine Learning ◽

Water Level ◽

Real Time ◽

Sediment Load ◽

Learning Framework ◽

Hybrid Machine ◽

High Sediment ◽

Water Level Prediction

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