Articles liés à Application of Artificial Neural Network for Ibuprofen...

Application of Artificial Neural Network for Ibuprofen Adsorption - Couverture souple

Basu, Jayanta Kumar; Dutta, Monal

 
9783659317897: Application of Artificial Neural Network for Ibuprofen Adsorption
Couverture souple
ISBN 10 : 3659317896 ISBN 13 : 9783659317897
Editeur : LAP LAMBERT Academic Publishing, 2013

Synopsis

This discussion offers a systematic approach to predict the adsorption characteristics of a pharmaceutical pollutant, ibuprofen through artificial neural network. The artificial neural network is inspired by biological nervous system. Artificial neural networks are being extensively used for predicting the rate of adsorption of an adsorbent in solid-liquid adsorption system. Adsorption is a versatile method for the treatment of waste water bearing various pollutants. In case of batch adsorption study, the most significant output of an adsorption process, the adsorption capacity can be predicted either by equilibrium study or kinetic study. But application of a new method for the prediction of ibuprofen adsorption is artificial neural network which bifurcates the conventional prediction methods. In the present investigation, the ibuprofen adsorption capacity of microwave assisted activated carbon was predicted through artificial neural network.

Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.

Présentation de l'éditeur

This discussion offers a systematic approach to predict the adsorption characteristics of a pharmaceutical pollutant, ibuprofen through artificial neural network. The artificial neural network is inspired by biological nervous system. Artificial neural networks are being extensively used for predicting the rate of adsorption of an adsorbent in solid-liquid adsorption system. Adsorption is a versatile method for the treatment of waste water bearing various pollutants. In case of batch adsorption study, the most significant output of an adsorption process, the adsorption capacity can be predicted either by equilibrium study or kinetic study. But application of a new method for the prediction of ibuprofen adsorption is artificial neural network which bifurcates the conventional prediction methods. In the present investigation, the ibuprofen adsorption capacity of microwave assisted activated carbon was predicted through artificial neural network.

Biographie de l'auteur

He is a Professor of Department of Chemical Engineering, Indian Institute of Technology Kharagpur,India. He has over 22 years of teaching and research experiences. His field of research is environmental pollution control. He has above 60 international publications. Monal Dutta is also associated with the same department as research scholar.

Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.

Éditeur
LAP LAMBERT Academic Publishing
Date d'édition
2013
Langue
anglais
ISBN 10 
3659317896
ISBN 13 
9783659317897
Reliure
Broché
Nombre de pages
52
Coordonnées du fabricant
non disponible
Personne responsable
KreGa Onlinehandel GmbH
4950000000000
info@krega-onlinehandel.de

Birkenweg 31
Brakel
33034
Allemagne