The Use of Artificial Neural Network for Prediction of Dissolution Kinetics
Joint Authors
Elçiçek, H.
Akdoğan, E.
Karagöz, S.
Source
Issue
Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-9, 9 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2014-06-16
Country of Publication
Egypt
No. of Pages
9
Main Subjects
Medicine
Information Technology and Computer Science
Abstract EN
Colemanite is a preferred boron mineral in industry, such as boric acid production, fabrication of heat resistant glass, and cleaning agents.
Dissolution of the mineral is one of the most important processes for these industries.
In this study, dissolution of colemanite was examined in water saturated with carbon dioxide solutions.
Also, prediction of dissolution rate was determined using artificial neural networks (ANNs) which are based on the multilayered perceptron.
Reaction temperature, total pressure, stirring speed, solid/liquid ratio, particle size, and reaction time were selected as input parameters to predict the dissolution rate.
Experimental dataset was used to train multilayer perceptron (MLP) networks to allow for prediction of dissolution kinetics.
Developing ANNs has provided highly accurate predictions in comparison with an obtained mathematical model used through regression method.
We conclude that ANNs may be a preferred alternative approach instead of conventional statistical methods for prediction of boron minerals.
American Psychological Association (APA)
Elçiçek, H.& Akdoğan, E.& Karagöz, S.. 2014. The Use of Artificial Neural Network for Prediction of Dissolution Kinetics. The Scientific World Journal،Vol. 2014, no. 2014, pp.1-9.
https://search.emarefa.net/detail/BIM-1048688
Modern Language Association (MLA)
Elçiçek, H.…[et al.]. The Use of Artificial Neural Network for Prediction of Dissolution Kinetics. The Scientific World Journal No. 2014 (2014), pp.1-9.
https://search.emarefa.net/detail/BIM-1048688
American Medical Association (AMA)
Elçiçek, H.& Akdoğan, E.& Karagöz, S.. The Use of Artificial Neural Network for Prediction of Dissolution Kinetics. The Scientific World Journal. 2014. Vol. 2014, no. 2014, pp.1-9.
https://search.emarefa.net/detail/BIM-1048688
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1048688