Neural network approach for robust and fast calculation of physical processes in numerical environmental models: Compound parameterization with a quality control of larger errors

Vladimir M. Krasnopolsky, Michael S. Fox-Rabinovitz, Hendrik L. Tolman, Alexei A. Belochitski. Neural network approach for robust and fast calculation of physical processes in numerical environmental models: Compound parameterization with a quality control of larger errors. Neural Networks, 21(2-3):535-543, 2008. [doi]

@article{KrasnopolskyFTB08,
  title = {Neural network approach for robust and fast calculation of physical processes in numerical environmental models: Compound parameterization with a quality control of larger errors},
  author = {Vladimir M. Krasnopolsky and Michael S. Fox-Rabinovitz and Hendrik L. Tolman and Alexei A. Belochitski},
  year = {2008},
  doi = {10.1016/j.neunet.2007.12.019},
  url = {http://dx.doi.org/10.1016/j.neunet.2007.12.019},
  tags = {process modeling, systematic-approach},
  researchr = {https://researchr.org/publication/KrasnopolskyFTB08},
  cites = {0},
  citedby = {0},
  journal = {Neural Networks},
  volume = {21},
  number = {2-3},
  pages = {535-543},
}