Feature extraction for time-series data: An artificial neural network evolutionary training model for the management of mountainous watersheds

Neurocomputing

Volumn 73, Issue 1-3, 2009, Pages 49-59

  Glezakos, Thomas J ^a   Tsiligiridis, Theodore A ^a   Iliadis, Lazaros S ^a   Yialouris, Constantine P ^a   Maris, Fotis P ^a   Ferentinos, Konstantinos P ^a  

^a AGRICULTURAL UNIVERSITY OF ATHENS   (Greece)

Author keywords

Artificial neural networks; Average annual water supply; Evolutionary time series processing; Genetic algorithms; Genetic ANN training; Maximum volume of water flow

Indexed keywords

ARTIFICIAL NEURAL NETWORKS; AVERAGE ANNUAL WATER SUPPLY; EVOLUTIONARY TIME-SERIES PROCESSING; GENETIC ANN TRAINING; MAXIMUM VOLUME OF WATER FLOW;

BACKPROPAGATION; FEATURE EXTRACTION; FLOW OF WATER; GENETIC ALGORITHMS; HYDRAULICS; LANDFORMS; MATHEMATICAL MODELS; NEURAL NETWORKS; PATTERN MATCHING; RISK PERCEPTION; WATER MANAGEMENT; WATER SUPPLY; WATER SUPPLY SYSTEMS; WATERSHEDS;

NETWORK MANAGEMENT;

RAIN;

ALGORITHM; ARTICLE; ARTIFICIAL NEURAL NETWORK; CLUSTER ANALYSIS; CYPRUS; DATA ANALYSIS; ENVIRONMENTAL MANAGEMENT; FORECASTING; MEASUREMENT; PRIORITY JOURNAL; RISK ASSESSMENT; STATISTICAL MODEL; TIME SERIES ANALYSIS; WATER SUPPLY; WATERSHED MANAGEMENT;

EID: 70350733507     PISSN: 09252312     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.neucom.2008.08.024     Document Type: Article

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