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Vladimir M. Krasnopolsky: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

Publications of Author

  1. Vladimir Cherkassky, Vladimir M. Krasnopolsky, Dimitri P. Solomatine, Julio J. Valdés
    2006 Special issue: Earth Sciences and Environmental Applications of Computational IntelligenceIntroduction. [Citation Graph (0, 0)][DBLP]
    Neural Networks, 2006, v:19, n:2, pp:111- [Journal]
  2. Vladimir Cherkassky, Vladimir M. Krasnopolsky, Dimitri P. Solomatine, John J. Valdés
    Computational intelligence in earth sciences and environmental applications: Issues and challenges. [Citation Graph (0, 0)][DBLP]
    Neural Networks, 2006, v:19, n:2, pp:113-121 [Journal]
  3. Vladimir M. Krasnopolsky, Frédéric Chevallier
    Some neural network applications in environmental sciences. Part II: advancing computational efficiency of environmental numerical models. [Citation Graph (0, 0)][DBLP]
    Neural Networks, 2003, v:16, n:3-4, pp:335-348 [Journal]
  4. Vladimir M. Krasnopolsky, Michael S. Fox-Rabinovitz
    Complex hybrid models combining deterministic and machine learning components for numerical climate modeling and weather prediction. [Citation Graph (0, 0)][DBLP]
    Neural Networks, 2006, v:19, n:2, pp:122-134 [Journal]
  5. Vladimir M. Krasnopolsky, Helmut Schiller
    Some neural network applications in environmental sciences. Part I: forward and inverse problems in geophysical remote measurements. [Citation Graph (0, 0)][DBLP]
    Neural Networks, 2003, v:16, n:3-4, pp:321-334 [Journal]
  6. Vladimir Cherkassky, William Hsieh, Vladimir M. Krasnopolsky, Dimitri P. Solomatine, Julio J. Valdés
    Computational intelligence in earth and environmental sciences. [Citation Graph (0, 0)][DBLP]
    Neural Networks, 2007, v:20, n:4, pp:433- [Journal]
  7. Vladimir M. Krasnopolsky
    Reducing uncertainties in neural network Jacobians and improving accuracy of neural network emulations with NN ensemble approaches. [Citation Graph (0, 0)][DBLP]
    Neural Networks, 2007, v:20, n:4, pp:454-461 [Journal]

  8. Compound Parameterization for a Quality Control of Outliers and Larger Errors in Neural Network Emulations of Model Physics. [Citation Graph (, )][DBLP]


  9. Using Neural Network to Enhance Assimilating Sea Surface Height Data into an Ocean Model. [Citation Graph (, )][DBLP]


  10. Ensemble of Neural Network Emulations for Climate Model Physics: The Impact on Climate Simulations. [Citation Graph (, )][DBLP]


  11. Reducing Uncertainties in Neural Network Jacobians and Improving Accuracy of Neural Network Emulations with NN Ensemble Approaches. [Citation Graph (, )][DBLP]


  12. Using neural network emulations of model physics in numerical model ensembles. [Citation Graph (, )][DBLP]


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