Using artificial neural networks to reconstruct the composition of complex feedstocks
- Author
- Steven Pyl (UGent) , Kevin Van Geem (UGent) , Marie-Françoise Reyniers (UGent) and Guy Marin (UGent)
- Organization
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Citation
Please use this url to cite or link to this publication: http://hdl.handle.net/1854/LU-1964451
- 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}}, }