Comparative Study of SVMs and ANNs in Aquifer Water Level Prediction

Journal of Computing in Civil Engineering ◽

10.1061/(asce)cp.1943-5487.0000043 ◽

2010 ◽

Vol 24 (5) ◽

pp. 408-413 ◽

Author(s):

Mohsen Behzad ◽

Keyvan Asghari ◽

Emery A. Coppola

Keyword(s):

Comparative Study ◽

Water Level ◽

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 ◽

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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Comparative study of PID controlled modes on automatic water level measurement system

2011 IEEE 7th International Colloquium on Signal Processing and its Applications ◽

10.1109/cspa.2011.5759879 ◽

2011 ◽

Author(s):

I.S Isa ◽

B.C.C. Meng ◽

Z. Saad ◽

N.A. Fauzi

Keyword(s):

Comparative Study ◽

Water Level ◽

Measurement System ◽

Level Measurement

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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 ◽

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 ◽

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 ◽

Author(s):

Haytham Assem ◽

Salem Ghariba ◽

Gabor Makrai ◽

Paul Johnston ◽

Laurence Gill ◽

...

Keyword(s):

Deep Learning ◽

Water Level ◽

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 ◽

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 ◽

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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