Artificial neural networks vs. Gene Expression Programming for estimating outlet dissolved oxygen in micro-irrigation sand filters fed with effluents

Computers and Electronics in Agriculture

Volumn 99, Issue , 2013, Pages 176-185

  Martí, Pau ^a   Shiri, Jalal ^b   Duran Ros, Miquel ^c   Arbat, Gerard ^c   de Cartagena, Francesc Ramírez ^c   Puig Bargués, Jaume ^c  

^a UNIVERSITAT POLITÈCNICA DE VALÈNCIA   (Spain)

^b UNIVERSITY OF TABRIZ   (Iran)

^c UNIVERSITY OF GIRONA   (Spain)

Author keywords

Artificial neural networks; Clogging; Dissolved oxygen; Drip irrigation; Gene Expression Programming; K Fold testing

Indexed keywords

DISSOLVED OXYGEN; EFFLUENTS; IRRIGATION; NEURAL NETWORKS; WATER POLLUTION; WATER QUALITY;

CLOGGING; DRIP IRRIGATION; ELECTRICAL CONDUCTIVITY; GENE EXPRESSION PROGRAMMING; MICROIRRIGATION SYSTEMS; MULTI-LINEAR REGRESSION; SINGLE CONFIGURATION; WATER QUALITY PARAMETERS;

ESTIMATION;

ARTIFICIAL NEURAL NETWORK; DATA SET; DISSOLVED OXYGEN; DRIP IRRIGATION; EFFLUENT; ESTIMATION METHOD; FILTER; FILTRATION; GENE EXPRESSION; NUMERICAL MODEL; ORGANIC POLLUTANT;

EID: 84885449717     PISSN: 01681699     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.compag.2013.08.016     Document Type: Article

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