Daily water level forecasting using wavelet decomposition and artificial intelligence techniques

Journal of Hydrology

Volumn 520, Issue , 2015, Pages 224-243

  Seo, Youngmin ^a   Kim, Sungwon ^b   Kisi, Ozgur ^c   Singh, Vijay P ^d  

^a Kyungpook National University   (South Korea)

^b Dongyang University   (South Korea)

^c CANIK BASARI UNIVERSITY   (Turkey)

^d Texas A M University   (United States)

Author keywords

Adaptive neuro fuzzy inference system; Artificial neural network; Water level forecasting; Wavelet decomposition

Indexed keywords

DISCRETE WAVELET TRANSFORMS; EFFICIENCY; FORECASTING; FUZZY INFERENCE; FUZZY NEURAL NETWORKS; FUZZY SYSTEMS; NEURAL NETWORKS; RESERVOIRS (WATER); TIME SERIES; TRACKING (POSITION); WATER LEVELS; WAVELET ANALYSIS;

ADAPTIVE NEURO-FUZZY INFERENCE SYSTEM; ARTIFICIAL INTELLIGENCE TECHNIQUES; FORECASTING MODELS; MODEL PERFORMANCE; RESERVOIR INFLOW; RESERVOIR OPERATION; STATISTICAL PERFORMANCE; WATER LEVEL FORECASTING;

WAVELET DECOMPOSITION;

ARTIFICIAL INTELLIGENCE; ARTIFICIAL NEURAL NETWORK; FORECASTING METHOD; NUMERICAL MODEL; RESERVOIR; WATER FLOW; WATER LEVEL;

EID: 84916205087     PISSN: 00221694     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.jhydrol.2014.11.050     Document Type: Article

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