Modeling of air pollutants using least square support vector regression, multivariate adaptive regression spline, and M5 model tree models

Air Quality, Atmosphere and Health

Volumn 10, Issue 7, 2017, Pages 873-883

  Kisi, Ozgur ^a   Parmar, Kulwinder Singh ^b   Soni, Kirti ^c   Demir, Vahdettin ^d  

^a Ilia State University   (Georgia)

^b I K GUJRAL PUNJAB TECHNICAL UNIVERSITY   (India)

^c NATIONAL PHYSICAL LABORATORY   (India)

^d KTO KARATAY UNIVERSITY   (Turkey)

Author keywords

Environmental management; Prediction modeling; Regression methods; Soft computing techniques

Indexed keywords

ACCURACY ASSESSMENT; ANALYTICAL METHOD; ATMOSPHERIC MODELING; ATMOSPHERIC POLLUTION; CONCENTRATION (COMPOSITION); ENVIRONMENTAL MANAGEMENT; ERROR ANALYSIS; MULTIVARIATE ANALYSIS; NUMERICAL MODEL; PREDICTION; REGRESSION ANALYSIS; SULFUR DIOXIDE; SUPPORT VECTOR MACHINE;

DELHI; INDIA;

EID: 85017432781     PISSN: 18739318     EISSN: 18739326     Source Type: Journal    
DOI: 10.1007/s11869-017-0477-9     Document Type: Article

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