Artificial neural networks: applications in chemical engineering
Artificial neural networks (ANN) provide a range of powerful new techniques for solving problems in sensor data analysis, fault detection, process identification, and control and have been used in a diverse range of chemical engineering applications. This paper aims to provide a comprehensive review...
Saved in:
Main Authors: | Pirdashti, Mohsen, Curteanu, Silvia, Kamangar, Mehrdad Hashemi, Hassim, Mimi Haryani, Khatami, Mohammad Amin |
---|---|
Format: | Article |
Published: |
Walter de Gruyter GmbH, Berlin/Boston.
2013
|
Subjects: | |
Online Access: | http://eprints.utm.my/id/eprint/49362/ http://dx.doi.org/10.1515/revce-2013-0013 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Artificial neural network modelling of steady state chemical engineering systems
by: Mohd. Yusof, Khairiyah, et al.
Published: (2003) -
Applications of artificial neural networks in engine cooling system
by: Hasan, Md Munirul, et al.
Published: (2021) -
Application of artificial neural networks in fracture characterization and modeling technology
by: Alizadeh, Mostafa, et al.
Published: (2015) -
Application of Artificial Neural Network for Prediction of Marine Diesel Engine Performance
by: C. W., Mohd Noor, et al.
Published: (2015) -
Assessing inherent occupational health aspect during chemical process design
by: Hassim, Mimi Haryani
Published: (2011)