Application of least squares support vector regression and linear multiple regression for modeling removal of methyl orange onto tin oxide nanoparticles loaded on activated carbon and activated carbon prepared from Pistacia atlantica wood

Journal of Colloid and Interface Science

Volumn 461, Issue , 2016, Pages 425-434

  Ghaedi, M ^a   Rahimi, Mahmoud reza ^a   Ghaedi, A M ^b   Tyagi, Inderjeet ^c   Agarwal, Shilpi ^c,e   Gupta, Vinod Kumar ^c,d,e  

^a YASOUJ UNIVERSITY   (Iran)

^b ISLAMIC AZAD UNIVERSITY   (Iran)

^c INDIAN INSTITUTE OF TECHNOLOGY ROORKEE   (India)

^d KING FAHD UNIVERSITY OF PETROLEUM AND MINERALS   (Saudi Arabia)

^e UNIVERSITY OF JOHANNESBURG   (South Africa)

Author keywords

Isotherm; Least square support vector; Methyl orange; Nanoparticles; Tin oxide

Indexed keywords

ACTIVATED CARBON; ADSORPTION; ADSORPTION ISOTHERMS; AZO DYES; CITRUS FRUITS; ISOTHERMS; MEAN SQUARE ERROR; NANOPARTICLES; REGRESSION ANALYSIS; STATISTICAL TESTS; TIN; WOOD;

COEFFICIENT OF DETERMINATION; INTRA-PARTICLE DIFFUSION; LANGMUIR ISOTHERM MODELS; LEAST SQUARES SUPPORT VECTOR REGRESSION; LINEAR MULTIPLE REGRESSION; METHYL ORANGE; MULTIPLE LINEAR REGRESSIONS; SUPPORT VECTOR;

TIN OXIDES;

ACTIVATED CARBON; ADSORBENT; METHYL ORANGE; NANOPARTICLE; TIN OXIDE; TIN OXIDE NANOPARTICLE; UNCLASSIFIED DRUG; AZO COMPOUND; CARBON; STANNIC OXIDE; TIN DERIVATIVE;

ADSORPTION; ADSORPTION KINETICS; ANALYTICAL ERROR; AQUEOUS SOLUTION; ARTICLE; CONCENTRATION (PARAMETERS); DIFFUSION; ISOTHERM; MULTIPLE LINEAR REGRESSION ANALYSIS; PH; PHOTOMETRY; PISTACIA; PISTACIA ATLANTICA; PREDICTION; PRIORITY JOURNAL; STATIC ELECTRICITY; STATISTICAL MODEL; SUPPORT VECTOR MACHINE; WASTE COMPONENT REMOVAL; WOOD; CHEMICAL STRUCTURE; CHEMISTRY; ISOLATION AND PURIFICATION; PARTICLE SIZE; REGRESSION ANALYSIS; SURFACE PROPERTY;

ACTIVATED CARBON; PISTACIA; REGRESSION ANALYSIS; TIN OXIDE;

ADSORPTION; AZO COMPOUNDS; CARBON; LEAST-SQUARES ANALYSIS; LINEAR MODELS; MOLECULAR STRUCTURE; NANOPARTICLES; PARTICLE SIZE; PISTACIA; SUPPORT VECTOR MACHINE; SURFACE PROPERTIES; TIN COMPOUNDS; WOOD;

EID: 84942474446     PISSN: 00219797     EISSN: 10957103     Source Type: Journal    
DOI: 10.1016/j.jcis.2015.09.024     Document Type: Article

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