Non-tuned machine learning approach for hydrological time series forecasting

Neural Computing and Applications

Volumn 30, Issue 5, 2018, Pages 1479-1491

  Yaseen, Zaher Mundher ^a   Allawi, Mohammed Falah ^a   Yousif, Ali A ^b   Jaafar, Othman ^a   Hamzah, Firdaus Mohamad ^a   El Shafie, Ahmed ^c  

^a UNIVERSITI KEBANGSAAN MALAYSIA   (Malaysia)

^b UNIVERSITY OF DUHOK   (Iraq)

^c UNIVERSITY OF MALAYA   (Malaysia)

Author keywords

Artificial neural network; Extreme learning machine; Multiple time horizons; Stream flow forecasting; Tropical environment

Indexed keywords

FEEDFORWARD NEURAL NETWORKS; FORECASTING; KNOWLEDGE ACQUISITION; MEAN SQUARE ERROR; NETWORK LAYERS; NEURAL NETWORKS; STREAM FLOW;

ARTIFICIAL NEURAL NETWORK MODELS; EXTREME LEARNING MACHINE; HYDROLOGICAL TIME-SERIES; MACHINE LEARNING APPROACHES; SINGLE LAYER FEED-FORWARD NEURAL NETWORKS; STREAMFLOW FORECASTING; TIME HORIZONS; TROPICAL ENVIRONMENTS;

LEARNING SYSTEMS;

EID: 85006356473     PISSN: 09410643     EISSN: None     Source Type: Journal    
DOI: 10.1007/s00521-016-2763-0     Document Type: Article

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