Improving real time flood forecasting using fuzzy inference system

Journal of Hydrology

Volumn 509, Issue , 2014, Pages 25-41

  Lohani, Anil Kumar ^a   Goel, N K ^b   Bhatia, K K S ^c  

^a NATIONAL INSTITUTE OF HYDROLOGY   (India)

^b INDIAN INSTITUTE OF TECHNOLOGY ROORKEE   (India)

^c Poornima Group of Colleges   (India)

Author keywords

Artificial neural network; Flood forecasting; Fuzzy inference system; Lead period; Self Organizing Map; Subtractive clustering

Indexed keywords

CALIBRATION AND VALIDATIONS; COEFFICIENT OF CORRELATION; FLOOD FORECASTING; FLOOD FORECASTING MODELS; FUZZY INFERENCE SYSTEMS; REAL TIME FLOOD FORECASTING; SUBTRACTIVE CLUSTERING; TAKAGI SUGENO FUZZY MODELS;

CLUSTER COMPUTING; FLOOD CONTROL; FLOW OF WATER; FORECASTING; FUZZY SYSTEMS; MEAN SQUARE ERROR; MODEL STRUCTURES; NEURAL NETWORKS; RAIN; SELF ORGANIZING MAPS;

FLOODS;

ACCURACY ASSESSMENT; CLUSTER ANALYSIS; CORRELATION; FLOOD FORECASTING; FLOW MODELING; FUZZY MATHEMATICS; HYDROLOGICAL MODELING; REAL TIME; RIVER FLOW;

INDIA; NARMADA BASIN;

EID: 84890090280     PISSN: 00221694     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.jhydrol.2013.11.021     Document Type: Article

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