Artificial Neural Network Modeling for Adsorption of Dyes from Aqueous Solution using Rice Husk Carbon

Rice Husk ◽

Network Modeling ◽

Neural Network Modeling ◽

Artificial Neural ◽

Rice Husk Carbon

Oxidative degradation of furfural using synthesized copper activated persulfate in aqueous solution, intermediates identification and artificial neural network modeling

10.5004/dwt.2019.23783 ◽

2019 ◽

Vol 148 ◽

pp. 128-140

Author(s):

Sahand Jorfi ◽

Yaser Tahmasebi Birgani ◽

Ali Reza Rahmani ◽

Fahime Zamani ◽

Mehdi Ahmadi ◽

...

Keyword(s):

Neural Network ◽

Aqueous Solution ◽

Network Modeling ◽

Oxidative Degradation ◽

Neural Network Modeling ◽

Artificial Neural ◽

Activated Persulfate

Removal of sarafloxacin from aqueous solution by a magnetized metal-organic framework; Artificial neural network modeling

Polyhedron ◽

10.1016/j.poly.2019.114342 ◽

2020 ◽

Vol 179 ◽

pp. 114342 ◽

Cited By ~ 5

Author(s):

Abdolraouf Samadi-Maybodi ◽

Mohsen Nikou

Keyword(s):

Neural Network ◽

Aqueous Solution ◽

Metal Organic Framework ◽

Network Modeling ◽

Neural Network Modeling ◽

Metal Organic ◽

Artificial Neural ◽

Organic Framework

Adsorption of Amido Black 10B from aqueous solution using polyaniline/SiO2 nanocomposite: Experimental investigation and artificial neural network modeling

Journal of Colloid and Interface Science ◽

10.1016/j.jcis.2017.09.055 ◽

2018 ◽

Vol 510 ◽

pp. 246-261 ◽

Cited By ~ 66

Author(s):

Marjan Tanzifi ◽

Mohammad Tavakkoli Yaraki ◽

Asieh Dehghani Kiadehi ◽

Seyyed Hossein Hosseini ◽

Martin Olazar ◽

...

Keyword(s):

Neural Network ◽

Aqueous Solution ◽

Experimental Investigation ◽

Network Modeling ◽

Neural Network Modeling ◽

Amido Black 10B ◽

Amido Black ◽

Biosorption of Acid Black 172 and Congo Red from aqueous solution by nonviable Penicillium YW 01: Kinetic study, equilibrium isotherm and artificial neural network modeling

Bioresource Technology ◽

10.1016/j.biortech.2010.08.125 ◽

2011 ◽

Vol 102 (2) ◽

pp. 828-834 ◽

Cited By ~ 121

Author(s):

Yuyi Yang ◽

Guan Wang ◽

Bing Wang ◽

Zeli Li ◽

Xiaoming Jia ◽

...

Keyword(s):

Neural Network ◽

Aqueous Solution ◽

Kinetic Study ◽

Congo Red ◽

Network Modeling ◽

Neural Network Modeling ◽

Equilibrium Isotherm ◽

Parameter screening, optimization and artificial neural network modeling of cadmium extraction from aqueous solution using green emulsion liquid membrane

Environmental Technology & Innovation ◽

10.1016/j.eti.2021.102138 ◽

2021 ◽

pp. 102138

Author(s):

S. Sujatha ◽

N. Rajamohan ◽

S. Anbazhagan ◽

M. Vanithasri ◽

M. Rajasimman

Keyword(s):

Neural Network ◽

Aqueous Solution ◽

Liquid Membrane ◽

Network Modeling ◽

Neural Network Modeling ◽

Emulsion Liquid Membrane ◽

Removal of Crystal Violet from Aqueous Solution by Adsorption onto Eggshells: Equilibrium, Kinetics, Thermodynamics and Artificial Neural Network Modeling

Waste and Biomass Valorization ◽

10.1007/s12649-012-9139-1 ◽

2012 ◽

Vol 4 (3) ◽

pp. 655-664 ◽

Cited By ~ 22

Author(s):

Shamik Chowdhury ◽

Sagnik Chakraborty ◽

Papita Das Saha

Keyword(s):

Neural Network ◽

Aqueous Solution ◽

Crystal Violet ◽

Network Modeling ◽

Neural Network Modeling ◽

Artificial Neural Network Modeling of Pavement Performance using Expert Judgement

Road Materials and Pavement Design ◽

10.3166/rmpd.3.373-384 ◽

2002 ◽

Vol 3 (4) ◽

pp. 373-384

Author(s):

Medhi Parvani

Keyword(s):

Neural Network ◽

Network Modeling ◽

Pavement Performance ◽

Expert Judgement ◽

Neural Network Modeling ◽

Artificial Neural Network Modeling of Phytoestrogen Binding to Estrogen Receptors

Letters in Drug Design & Discovery ◽

10.2174/157018006778194871 ◽

2006 ◽

Vol 3 (7) ◽

pp. 436-442 ◽

Cited By ~ 4

Author(s):

S. Agatonovic-Kustrin ◽

J. Turner

Keyword(s):

Neural Network ◽

Estrogen Receptors ◽

Network Modeling ◽

Neural Network Modeling ◽

Innovations in Corrosion and Materials Science (Formerly Recent Patents on Corrosion Science) ◽

An Artificial Neural Network Modeling to Study Unpredictable Degradation of Carbon Steel Marine Structure with Environmental Variables: Chloride, Sulphate, Bicarbonates, pH

10.2174/2352094904999141202103233 ◽

2015 ◽

Vol 4 (2) ◽

pp. 127-133

Author(s):

Subir Paul ◽

Sujit K Guchhait ◽

Kamal Goswami

Keyword(s):

Neural Network ◽

Carbon Steel ◽

Environmental Variables ◽

Network Modeling ◽

Neural Network Modeling ◽

Marine Structure ◽

Porosity Estimation of Mesoporous TiO 2 ‐ZnO Nanocrystalline by Artificial Neural Network Modeling

Chemical Engineering & Technology ◽

10.1002/ceat.202000297 ◽

2021 ◽

Author(s):

Soroush Soltani ◽

Taha Roodbar Shojaei ◽

Nasrin Khanian ◽

Thomas Shean Yaw Choong ◽

Nilofar Asim ◽

...

Keyword(s):

Neural Network ◽

Network Modeling ◽

Neural Network Modeling ◽

Artificial Neural ◽

Porosity Estimation