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ORCIDVladimir M. Krasnopolsky
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2010 – 2019
- 2018
[j12]Vladimir M. Krasnopolsky
, Sudhir Nadiga, Avichal Mehra, Eric Bayler:
Adjusting Neural Network to a Particular Problem: Neural Network-Based Empirical Biological Model for Chlorophyll Concentration in the Upper Ocean. Appl. Comput. Intell. Soft Comput. 2018: 7057363:1-7057363:10 (2018)- 2016
- [j11]Vladimir M. Krasnopolsky, Sudhir Nadiga, Avichal Mehra, Eric Bayler, David Behringer:
Neural Networks Technique for Filling Gaps in Satellite Measurements: Application to Ocean Color Observations. Comput. Intell. Neurosci. 2016: 6156513:1-6156513:9 (2016) - 2013
- [j10]Vladimir M. Krasnopolsky, Michael S. Fox-Rabinovitz, Alexei A. Belochitski:
Using Ensemble of Neural Networks to Learn Stochastic Convection Parameterizations for Climate and Numerical Weather Prediction Models from Data Simulated by a Cloud Resolving Model. Adv. Artif. Neural Syst. 2013: 485913:1-485913:13 (2013) - 2011
- [j9]Alexei A. Belochitski, Peter Binev, Ronald A. DeVore, Michael S. Fox-Rabinovitz, Vladimir M. Krasnopolsky, Philipp Lamby:
Tree approximation of the long wave radiation parameterization in the NCAR CAM global climate model. J. Comput. Appl. Math. 236(4): 447-460 (2011) - 2010
- [c8]Vladimir M. Krasnopolsky, Michael S. Fox-Rabinovitz, Alexei A. Belochitski:
Development of neural network convection parameterizations for numerical climate and weather prediction models using cloud resolving model simulations. IJCNN 2010: 1-8
2000 – 2009
- 2009
- [c7]Vladimir M. Krasnopolsky, Stephen J. Lord, Shrinivas Moorthi, Todd Spindler:
How to deal with inhomogeneous outputs and high dimensionality of neural network emulations of model physics in numerical climate and weather prediction models. IJCNN 2009: 1668-1673 - 2008
- [j8]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) - [c6]Vladimir M. Krasnopolsky, Michael S. Fox-Rabinovitz, Alexei A. Belochitski:
Using neural network emulations of model physics in numerical model ensembles. IJCNN 2008: 1523-1530 - 2007
- [j7]Vladimir Cherkassky, William Hsieh, Vladimir M. Krasnopolsky, Dimitri P. Solomatine, Julio J. Valdés:
Computational intelligence in earth and environmental sciences. Neural Networks 20(4): 433 (2007) - [j6]Vladimir M. Krasnopolsky:
Reducing uncertainties in neural network Jacobians and improving accuracy of neural network emulations with NN ensemble approaches. Neural Networks 20(4): 454-461 (2007) - [c5]Vladimir M. Krasnopolsky, Michael S. Fox-Rabinovitz, Alexei A. Belochitski:
Compound Parameterization for a Quality Control of Outliers and Larger Errors in Neural Network Emulations of Model Physics. IJCNN 2007: 391-395 - 2006
- [j5]Vladimir Cherkassky, Vladimir M. Krasnopolsky, Dimitri P. Solomatine, Julio J. Valdés:
2006 Special issue: Earth Sciences and Environmental Applications of Computational IntelligenceIntroduction. Neural Networks 19(2): 111 (2006) - [j4]Vladimir Cherkassky, Vladimir M. Krasnopolsky, Dimitri P. Solomatine, Julio J. Valdés:
Computational intelligence in earth sciences and environmental applications: Issues and challenges. Neural Networks 19(2): 113-121 (2006) - [j3]Vladimir M. Krasnopolsky, Michael S. Fox-Rabinovitz:
Complex hybrid models combining deterministic and machine learning components for numerical climate modeling and weather prediction. Neural Networks 19(2): 122-134 (2006) - [c4]Vladimir M. Krasnopolsky, Carlos J. Lozano, Deanna Spindler, Ilya Rivin, Desiraju B. Rao:
Using Neural Network to Enhance Assimilating Sea Surface Height Data into an Ocean Model. IJCNN 2006: 4299-4301 - [c3]Michael S. Fox-Rabinovitz, Vladimir M. Krasnopolsky, Alexei A. Belochitski:
Ensemble of Neural Network Emulations for Climate Model Physics: The Impact on Climate Simulations. IJCNN 2006: 4571-4576 - [c2]Vladimir M. Krasnopolsky:
Reducing Uncertainties in Neural Network Jacobians and Improving Accuracy of Neural Network Emulations with NN Ensemble Approaches. IJCNN 2006: 4587-4594 - 2003
- [j2]Vladimir M. Krasnopolsky, Helmut Schiller:
Some neural network applications in environmental sciences. Part I: forward and inverse problems in geophysical remote measurements. Neural Networks 16(3-4): 321-334 (2003) - [j1]Vladimir M. Krasnopolsky, Frédéric Chevallier:
Some neural network applications in environmental sciences. Part II: advancing computational efficiency of environmental numerical models. Neural Networks 16(3-4): 335-348 (2003)
1990 – 1999
- 1999
- [c1]Vladimir M. Krasnopolsky:
Using NNs to retrieve multiple geophysical parameters from satellite data. IJCNN 1999: 3774-3778
Coauthor Index
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