Support vector regression modelling and optimization of energy consumption in carbon fiber production line

Golkarnarenji, Gelayol, Naebe, Minoo, Badii, Khashayar, Milani, Abbas S., Jazar, Reza N. and Khayyam, Hamid 2018, Support vector regression modelling and optimization of energy consumption in carbon fiber production line, Computers and chemical engineering, vol. 109, pp. 276-288, doi: 10.1016/j.compchemeng.2017.11.020.

Attached Files
Name Description MIMEType Size Downloads

Title Support vector regression modelling and optimization of energy consumption in carbon fiber production line
Author(s) Golkarnarenji, Gelayol
Naebe, MinooORCID iD for Naebe, Minoo orcid.org/0000-0002-0607-6327
Badii, Khashayar
Milani, Abbas S.
Jazar, Reza N.
Khayyam, Hamid
Journal name Computers and chemical engineering
Volume number 109
Start page 276
End page 288
Total pages 13
Publisher Elsevier
Place of publication Amsterdam, The Netherlands
Publication date 2018-01-04
ISSN 0098-1354
Keyword(s) Science & Technology
Technology
Computer Science, Interdisciplinary Applications
Engineering, Chemical
Computer Science
Engineering
Thermal stabilization process
Intelligent predictive models
Energy optimization
Carbon fiber industry
Limited training data-set
ARTIFICIAL NEURAL-NETWORK
POLYACRYLONITRILE FIBERS
OXIDATIVE STABILIZATION
THERMAL STABILIZATION
MECHANICAL-PROPERTIES
PAN
CARBONIZATION
PREDICTION
MANAGEMENT
PRECURSOR
Language eng
DOI 10.1016/j.compchemeng.2017.11.020
Field of Research 0904 Chemical Engineering
0913 Mechanical Engineering
HERDC Research category C1 Refereed article in a scholarly journal
Copyright notice ©2017, Elsevier
Persistent URL http://hdl.handle.net/10536/DRO/DU:30111189

Document type: Journal Article
Collection: Institute for Frontier Materials
Connect to link resolver
 
Unless expressly stated otherwise, the copyright for items in DRO is owned by the author, with all rights reserved.

Versions
Version Filter Type
Citation counts: TR Web of Science Citation Count  Cited 0 times in TR Web of Science
Scopus Citation Count Cited 2 times in Scopus
Google Scholar Search Google Scholar
Access Statistics: 8 Abstract Views, 0 File Downloads  -  Detailed Statistics
Created: Thu, 12 Jul 2018, 16:08:09 EST

Every reasonable effort has been made to ensure that permission has been obtained for items included in DRO. If you believe that your rights have been infringed by this repository, please contact drosupport@deakin.edu.au.