The use of radial basis function networks (RBFN) to predict critical water parameters in desalination plants

Expert Systems with Applications

Volumn 37, Issue 10, 2010, Pages 7285-7287

  Riverol Canizares C ^a,c   Pilipovik, V ^b  

^a School of Computer Engineering   (Spain)

^b Project Department   (Venezuela)

^c UNIVERSITY OF THE WEST INDIES   (Trinidad and Tobago)

Author keywords

Desalination; Prediction; RBFN; Seasonal influence; Water

Indexed keywords

CLUSTER COMPUTING; DESALINATION; FORECASTING; HURRICANES; SEAWATER; VECTOR SPACES; WATER;

DESALINATION PLANT; HISTOGRAM EQUALIZATIONS; OPERATIONAL PARAMETERS; PREDICTIVE MODELING; RADIAL BASIS FUNCTION NETWORKS (RBFN); RBFN; SEASONAL INFLUENCE; TOTAL DISSOLVED SOLIDS;

RADIAL BASIS FUNCTION NETWORKS;

EID: 80052309996     PISSN: 09574174     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.eswa.2010.03.026     Document Type: Article

References (6)

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