Estimation of reference evapotranspiration using neural networks and cuckoo search algorithm

Journal of Irrigation and Drainage Engineering

Volumn 142, Issue 2, 2016, Pages

  Shamshirband, Shahaboddin ^a   Amirmojahedi, Mohsen ^b   Gocíc, Milan ^c   Akib, Shatirah ^b   Petkovíc, Dalibor ^c   Piri, Jamshid ^d   Trajkovic, Slavisa ^c  

^a Department of Artifical Intelligence   (Malaysia)

^b UNIVERSITY OF MALAYA   (Malaysia)

^c UNIVERSITY OF NI   (Serbia)

^d UNIVERSITY OF ZABOL   (Iran)

Author keywords

Cuckoo search algorithm; Estimation; Neural network; Reference evapotranspiration

Indexed keywords

ALGORITHMS; ATMOSPHERIC TEMPERATURE; CALIBRATION; ESTIMATION; EVAPOTRANSPIRATION; FUZZY NEURAL NETWORKS; FUZZY SYSTEMS; INFERENCE ENGINES; LEARNING ALGORITHMS; MEAN SQUARE ERROR; NEURAL NETWORKS; OPTIMIZATION; SOFT COMPUTING; WIND;

ADAPTIVE NEURO-FUZZY INFERENCE SYSTEM; COEFFICIENT OF DETERMINATION; CUCKOO SEARCH ALGORITHMS; METEOROLOGICAL STATION; PENMAN-MONTEITH EQUATIONS; REFERENCE EVAPOTRANSPIRATION; ROOT MEAN SQUARE ERRORS; STATISTICAL INDICATORS;

FUZZY INFERENCE;

ALGORITHM; ARTIFICIAL NEURAL NETWORK; ERROR ANALYSIS; EVAPOTRANSPIRATION; FUZZY MATHEMATICS; NUMERICAL MODEL;

SERBIA;

EID: 84978517055     PISSN: 07339437     EISSN: None     Source Type: Journal    
DOI: 10.1061/(ASCE)IR.1943-4774.0000949     Document Type: Article

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