Simulation and Optimization of Artificial Neural Network Modeling for Prediction of Sorption Efficiency of Nanocellulose Fibers for Removal of Cd (II) Ions from Aqueous System

Simulation and Optimization of Artificial Neural Network Modeling for Prediction of Sorption Efficiency of Nanocellulose Fibers for Removal of Cd (II) Ions from Aqueous System

Simulation and optimization of an Artificial Neural Network (ANN) for modeling biosorption studies of cadmium removal using nanocellulose fibers (NCFs) was carried out. Experimental studies led to the standardization of the optimum conditions for the removal of cadmium ions i.e. biomass dosage (0.5...

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Bibliographic Details
Main Authors: Abhishek KARDAM, Kumar Rohit RAJ, Jyoti Kumar ARORA, Shalini SRIVASTAVA
Format: Article
Language:English
Published: Walailak University 2013-08-01
Series:Walailak Journal of Science and Technology
Subjects:
Artificial neural network
Biosorption
simulation and optimization
nanocellulose fibers
cadmium removal
Online Access:http://wjst.wu.ac.th/index.php/wjst/article/view/625

Internet

http://wjst.wu.ac.th/index.php/wjst/article/view/625

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