How to deal with inhomogeneous outputs and high dimensionality of neural network emulations of model physics in numerical climate and weather prediction models. Krasnopolsky, V. M., Lord, S. J., Moorthi, S., & Spindler, T. In IJCNN, pages 1668-1673, 2009. IEEE.
How to deal with inhomogeneous outputs and high dimensionality of neural network emulations of model physics in numerical climate and weather prediction models. [link]Link  How to deal with inhomogeneous outputs and high dimensionality of neural network emulations of model physics in numerical climate and weather prediction models. [link]Paper  bibtex   
@inproceedings{conf/ijcnn/KrasnopolskyLMS09,
  added-at = {2010-10-04T00:00:00.000+0200},
  author = {Krasnopolsky, Vladimir M. and Lord, Stephen J. and Moorthi, Shrinivas and Spindler, Todd},
  biburl = {https://www.bibsonomy.org/bibtex/20884dd70e13955b0922597a0ffe8cf30/dblp},
  booktitle = {IJCNN},
  crossref = {conf/ijcnn/2009},
  ee = {http://dx.doi.org/10.1109/IJCNN.2009.5178898},
  interhash = {dca2bf445573bc1c315839154f225577},
  intrahash = {0884dd70e13955b0922597a0ffe8cf30},
  keywords = {dblp},
  pages = {1668-1673},
  publisher = {IEEE},
  timestamp = {2010-10-05T11:31:58.000+0200},
  title = {How to deal with inhomogeneous outputs and high dimensionality of neural network emulations of model physics in numerical climate and weather prediction models.},
  url = {http://dblp.uni-trier.de/db/conf/ijcnn/ijcnn2009.html#KrasnopolskyLMS09},
  year = 2009
}

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