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Using artificial neural networks to reconstruct the composition of complex feedstocks

Steven Pyl UGent, Kevin Van Geem UGent, Marie-Françoise Reyniers UGent and Guy Marin UGent (2011) MaCKie 2011 : book of abstracts.
Please use this url to cite or link to this publication:
author
organization
year
type
conference
publication status
published
subject
in
MaCKie 2011 : book of abstracts
conference name
7th International workshop on Mathematics in Chemical Kinetics and Engineering (MaCKiE 2011)
conference location
Heidelberg, Germany
conference start
2011-05-18
conference end
2011-05-20
language
English
UGent publication?
yes
classification
C3
additional info
uploaded document is poster version
copyright statement
I have retained and own the full copyright for this publication
id
1964451
handle
http://hdl.handle.net/1854/LU-1964451
date created
2011-12-09 14:25:49
date last changed
2017-03-09 12:39:36
@inproceedings{1964451,
  author       = {Pyl, Steven and Van Geem, Kevin and Reyniers, Marie-Fran\c{c}oise and Marin, Guy},
  booktitle    = {MaCKie 2011 : book of abstracts},
  language     = {eng},
  location     = {Heidelberg, Germany},
  title        = {Using artificial neural networks to reconstruct the composition of complex feedstocks},
  year         = {2011},
}

Chicago
Pyl, Steven, Kevin Van Geem, Marie-Françoise Reyniers, and Guy Marin. 2011. “Using Artificial Neural Networks to Reconstruct the Composition of Complex Feedstocks.” In MaCKie 2011 : Book of Abstracts.
APA
Pyl, S., Van Geem, K., Reyniers, M.-F., & Marin, G. (2011). Using artificial neural networks to reconstruct the composition of complex feedstocks. MaCKie 2011 : book of abstracts. Presented at the 7th International workshop on Mathematics in Chemical Kinetics and Engineering (MaCKiE 2011).
Vancouver
1.
Pyl S, Van Geem K, Reyniers M-F, Marin G. Using artificial neural networks to reconstruct the composition of complex feedstocks. MaCKie 2011 : book of abstracts. 2011.
MLA
Pyl, Steven, Kevin Van Geem, Marie-Françoise Reyniers, et al. “Using Artificial Neural Networks to Reconstruct the Composition of Complex Feedstocks.” MaCKie 2011 : Book of Abstracts. 2011. Print.