Using ANFIS for selection of more relevant parameters to predict dew point temperature

Applied Thermal Engineering

Volumn 96, Issue , 2016, Pages 311-319

  Mohammadi, Kasra ^a   Shamshirband, Shahaboddin ^b   Petković, Dalibor ^c   Yee, Por Lip ^b   Mansor, Zulkefli ^d  

^a University of Massachusetts   (United States)

^b UNIVERSITY OF MALAYA   (Malaysia)

^c UNIVERSITY OF NI   (Serbia)

^d UNIVERSITI KEBANGSAAN MALAYSIA   (Malaysia)

Author keywords

ANFIS; Dew point temperature; Prediction; Variable selection

Indexed keywords

ATMOSPHERIC HUMIDITY; ATMOSPHERIC PRESSURE; ATMOSPHERIC TEMPERATURE; FORECASTING; FUZZY SYSTEMS; RADIATION EFFECTS; SOFT COMPUTING;

ADAPTIVE NEURO-FUZZY INFERENCE SYSTEM; ANFIS; AVERAGE AIR TEMPERATURE; DEWPOINT TEMPERATURE; GLOBAL SOLAR RADIATION; PHYSICAL FACTORS; SOFTCOMPUTING TECHNIQUES; VARIABLE SELECTION;

FUZZY INFERENCE;

EID: 84954498069     PISSN: 13594311     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.applthermaleng.2015.11.081     Document Type: Article

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