Adsorption of Triamterene on multi-walled and single-walled carbon nanotubes: Artificial neural network modeling and genetic algorithm optimization

Journal of Molecular Liquids

Volumn 216, Issue , 2016, Pages 654-665

  Ghaedi, A M ^a   Ghaedi, M ^b   Pouranfard, A R ^b   Ansari, A ^c   Avazzadeh, Z ^a   Vafaei, A ^a   Tyagi, Inderjeet ^d   Agarwal, Shilpi ^d,e   Gupta, Vinod Kumar ^d,e  

^a ISLAMIC AZAD UNIVERSITY   (Iran)

^b YASOUJ UNIVERSITY   (Iran)

^c ISLAMIC AZAD UNIVERSITY   (Iran)

^d INDIAN INSTITUTE OF TECHNOLOGY ROORKEE   (India)

^e UNIVERSITY OF JOHANNESBURG   (South Africa)

Author keywords

Adsorption; ANN; Carbon nanotube; GA; Triamterene

Indexed keywords

ADSORPTION; ALGORITHMS; CARBON NANOTUBES; GALLIUM; GENETIC ALGORITHMS; LINEAR REGRESSION; MEAN SQUARE ERROR; NANOTUBES; NEURAL NETWORKS; OPTIMIZATION; SINGLE-WALLED CARBON NANOTUBES (SWCN); YARN;

ADSORPTION ENTHALPIES; ARTIFICIAL NEURAL NETWORK MODELING; COEFFICIENT OF DETERMINATION; GENETIC-ALGORITHM OPTIMIZATIONS; MULTIPLE LINEAR REGRESSIONS; PSEUDO SECOND ORDER KINETICS; SINGLEWALLED CARBON NANOTUBE (SWCNT); TRIAMTERENE;

MULTIWALLED CARBON NANOTUBES (MWCN);

EID: 84957916878     PISSN: 01677322     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.molliq.2016.01.068     Document Type: Article

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