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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)
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Please use this url to cite or link to this publication:

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.
@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},
}