Modeling the adsorption of chlorobenzene on modified bentonite using an artificial neural network

Modeling the adsorption of chlorobenzene on modified bentonite using an artificial neural network

In this paper, a radial basis function (RBF) feed-forward network has been used to predict the adsorption capacity for chlorobenzene (CB) onto modified Algerian bentonite (HDTMA-bentonite). The input parameters used for training of the RBF model include contact time, amount of adsorbent, pH, and the...

Full description

Bibliographic Details
Main Authors: Nabil Messikh, Nabil Bougdah, Salim Bousba, Fayçal Djazi
Format: Article
Language:English
Published: Elsevier 2020-06-01
Series:Current Research in Green and Sustainable Chemistry
Subjects:
Adsorption capacity
Artificial neural network
Bentonite
Chlorobenzene
Radial basis function (RBF)
Online Access:http://www.sciencedirect.com/science/article/pii/S2666086520300291

Internet

http://www.sciencedirect.com/science/article/pii/S2666086520300291

Similar Items