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The use of artificial neural network (ANN) for modeling adsorption of sunset yellow onto neodymium modified ordered mesoporous carbon.
Ahmad, Zaki Uddin; Yao, Lunguang; Lian, Qiyu; Islam, Fahrin; Zappi, Mark E; Gang, Daniel Dianchen.
Affiliation
  • Ahmad ZU; Department of Civil Engineering, University of Louisiana at Lafayette, P. O. Box 43598, Lafayette, LA, 70504, USA; Wastewater Infrastructure Planning, Houston Water, Houston Public Works, 611 Walker Street, 18th Floor, Houston, TX, 77008, USA.
  • Yao L; Henan Key Laboratory of Ecological Security, Collaborative Innovation Center of Water Security for Water Source Region of Mid-line of South-to-North Diversion Project of Henan Province, Nanyang Normal University, 1638 Wolong Rd, Nanyang, Henan, PR China.
  • Lian Q; Department of Civil Engineering, University of Louisiana at Lafayette, P. O. Box 43598, Lafayette, LA, 70504, USA; Center of Environmental Technology, The Energy Institute of Louisiana, University of Louisiana at Lafayette, P. O. Box 43597, Lafayette, LA, 70504, USA.
  • Islam F; Department of Civil Engineering, University of Louisiana at Lafayette, P. O. Box 43598, Lafayette, LA, 70504, USA; Center of Environmental Technology, The Energy Institute of Louisiana, University of Louisiana at Lafayette, P. O. Box 43597, Lafayette, LA, 70504, USA.
  • Zappi ME; Department of Civil Engineering, University of Louisiana at Lafayette, P. O. Box 43598, Lafayette, LA, 70504, USA; Center of Environmental Technology, The Energy Institute of Louisiana, University of Louisiana at Lafayette, P. O. Box 43597, Lafayette, LA, 70504, USA; Department of Chemical Engineeri
  • Gang DD; Department of Civil Engineering, University of Louisiana at Lafayette, P. O. Box 43598, Lafayette, LA, 70504, USA; Center of Environmental Technology, The Energy Institute of Louisiana, University of Louisiana at Lafayette, P. O. Box 43597, Lafayette, LA, 70504, USA. Electronic address: Gang@louisia
Chemosphere ; 256: 127081, 2020 Oct.
Article in En | MEDLINE | ID: mdl-32447112
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Azo Compounds / Neural Networks, Computer / Models, Chemical Type of study: Prognostic_studies Language: En Journal: Chemosphere Year: 2020 Document type: Article Affiliation country: Estados Unidos Country of publication: Reino Unido
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Azo Compounds / Neural Networks, Computer / Models, Chemical Type of study: Prognostic_studies Language: En Journal: Chemosphere Year: 2020 Document type: Article Affiliation country: Estados Unidos Country of publication: Reino Unido