Validation of an ANN Flow Prediction Model Using a Multistation Cluster Analysis

Journal of Hydrologic Engineering

Volumn 17, Issue 2, 2012, Pages 262-271

  Demirel, Mehmet C ^a   Booij, Martijn J ^a   Kahya, Ercan ^b  

^a UNIVERSITY OF TWENTE   (Netherlands)

^b ISTANBUL TECHNICAL UNIVERSITY   (Turkey)

Author keywords

Artificial neural network; Cluster analysis; Flow height; Model validation; Portugal

Indexed keywords

ARTIFICIAL NEURAL NETWORK MODELS; FLOW HEIGHT; FLOW PREDICTION; HIDDEN NEURONS; HYDROLOGICAL PREDICTION; HYDROMETRIC STATIONS; INPUT VARIABLES; LEADTIME; MODEL VALIDATION; NASH-SUTCLIFFE COEFFICIENT; PERFORMANCE CRITERION; PHYSICAL PROCESS; PORTUGAL; VALIDATION CRITERIA;

MATHEMATICAL MODELS; NEURAL NETWORKS;

CLUSTER ANALYSIS;

ARTIFICIAL NEURAL NETWORK; CLUSTER ANALYSIS; FLOW MEASUREMENT; HYDROMETRY; PERFORMANCE ASSESSMENT; PREDICTION;

PORTUGAL;

EID: 84858142021     PISSN: 10840699     EISSN: None     Source Type: Journal    
DOI: 10.1061/(ASCE)HE.1943-5584.0000426     Document Type: Article

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