Neural Networks and Evolutionary Algorithms for the Prediction of Thermodynamic Properties for Chemical Engineering

Martin Mandischer, Hannes Geyer, Peter Ulbig. Neural Networks and Evolutionary Algorithms for the Prediction of Thermodynamic Properties for Chemical Engineering. In Bob McKay, Xin Yao, Charles S. Newton, Jong-Hwan Kim, Takeshi Furuhashi, editors, Simulated Evolution and Learning, Second Asia-Pacific Conference on Simulated Evolution and Learning, SEAL 98, Canberra, Australia, November 24-27 1998, Selected Papers. Volume 1585 of Lecture Notes in Computer Science, pages 106-113, Springer, 1998. [doi]

@inproceedings{MandischerGU98,
  title = {Neural Networks and Evolutionary Algorithms for the Prediction of Thermodynamic Properties for Chemical Engineering},
  author = {Martin Mandischer and Hannes Geyer and Peter Ulbig},
  year = {1998},
  url = {http://link.springer.de/link/service/series/0558/bibs/1585/15850106.htm},
  researchr = {https://researchr.org/publication/MandischerGU98},
  cites = {0},
  citedby = {0},
  pages = {106-113},
  booktitle = {Simulated Evolution and Learning, Second Asia-Pacific Conference on Simulated Evolution and Learning, SEAL 98, Canberra, Australia, November 24-27 1998, Selected Papers},
  editor = {Bob McKay and Xin Yao and Charles S. Newton and Jong-Hwan Kim and Takeshi Furuhashi},
  volume = {1585},
  series = {Lecture Notes in Computer Science},
  publisher = {Springer},
  isbn = {3-540-65907-2},
}