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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:

MLA
Pyl, Steven, et al. “Using Artificial Neural Networks to Reconstruct the Composition of Complex Feedstocks.” MaCKie 2011 : Book of Abstracts, 2011.
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), Heidelberg, Germany.
Chicago author-date
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.
Chicago author-date (all authors)
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.
Vancouver
1.
Pyl S, Van Geem K, Reyniers M-F, Marin G. Using artificial neural networks to reconstruct the composition of complex feedstocks. In: MaCKie 2011 : book of abstracts. 2011.
IEEE
[1]
S. Pyl, K. Van Geem, M.-F. Reyniers, and G. Marin, “Using artificial neural networks to reconstruct the composition of complex feedstocks,” in MaCKie 2011 : book of abstracts, Heidelberg, Germany, 2011.
@inproceedings{1964451,
  author       = {{Pyl, Steven and Van Geem, Kevin and Reyniers, Marie-Françoise 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}},
}