Neural Network Solution of an Inverse Problem in Raman Spectroscopy of Multi-Component Solutions of Inorganic Salts: Group Determination as a Method to Increase Noise Resilience of the Solution

Igor Isaev, Ekaterina Vervald, Olga Sarmanova, Sergey Dolenko. Neural Network Solution of an Inverse Problem in Raman Spectroscopy of Multi-Component Solutions of Inorganic Salts: Group Determination as a Method to Increase Noise Resilience of the Solution. In Alexei V. Samsonovich, Valentin V. Klimov, editors, 8th Annual International Conference on Biologically Inspired Cognitive Architectures, BICA 2017, August 1-6, 2017, Moscow, Russia. Volume 123 of Procedia Computer Science, pages 177-182, Elsevier, 2017. [doi]

@inproceedings{IsaevVSD17,
  title = {Neural Network Solution of an Inverse Problem in Raman Spectroscopy of Multi-Component Solutions of Inorganic Salts: Group Determination as a Method to Increase Noise Resilience of the Solution},
  author = {Igor Isaev and Ekaterina Vervald and Olga Sarmanova and Sergey Dolenko},
  year = {2017},
  doi = {10.1016/j.procs.2018.01.029},
  url = {https://doi.org/10.1016/j.procs.2018.01.029},
  researchr = {https://researchr.org/publication/IsaevVSD17},
  cites = {0},
  citedby = {0},
  pages = {177-182},
  booktitle = {8th Annual International Conference on Biologically Inspired Cognitive Architectures, BICA 2017, August 1-6, 2017, Moscow, Russia},
  editor = {Alexei V. Samsonovich and Valentin V. Klimov},
  volume = {123},
  series = {Procedia Computer Science},
  publisher = {Elsevier},
}