Hybrid PSO-SVM-based method for long-term forecasting of turbidity in the Nalón river basin: A case study in Northern Spain

Ecological Engineering

Volumn 73, Issue , 2014, Pages 192-200

  Garcia Nieto P J ^a   Garcia Gonzalo E ^a   Alonso Fernandez J R ^b   Diaz Muniz C ^b  

^a UNIVERSITY OF OVIEDO   (Spain)

^b Ministerio de Agricultura Alimentación y Medio Ambiente   (Spain)

Author keywords

Particle swarm optimization (PSO); Support vector machines (SVMs); Turbidity; Water Framework Directive (WFD); Water pollution; Water quality monitoring

Indexed keywords

TURBIDITY; WATER POLLUTION;

LONG-TERM FORECASTING; RIVER BASINS; SUPPORT VECTOR MACHINE (SVMS); WATER FRAMEWORK DIRECTIVES; WATER QUALITY MONITORING;

PARTICLE SWARM OPTIMIZATION (PSO);

ACCURACY ASSESSMENT; DATA SET; FORECASTING METHOD; IMAGE CLASSIFICATION; OPTIMIZATION; RIVER BASIN; RIVER POLLUTION; TURBIDITY; WATER QUALITY;

NALON BASIN; SPAIN;

EID: 84907738221     PISSN: 09258574     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.ecoleng.2014.09.042     Document Type: Article

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