Vladimir M. Krasnopolsky

23 papers B 11Journal 12

Year	Rank	Type	Title / Venue / Authors
2018	J	`jnl`	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. Vladimir M. Krasnopolsky, Sudhir Nadiga, Avichal Mehra, Eric Bayler
2016	J	`jnl`	Neural Networks Technique for Filling Gaps in Satellite Measurements: Application to Ocean Color Observations. Comput. Intell. Neurosci. Vladimir M. Krasnopolsky, Sudhir Nadiga, Avichal Mehra, Eric Bayler, David Behringer
2013	J	`jnl`	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. Vladimir M. Krasnopolsky, Michael S. Fox-Rabinovitz, Alexei A. Belochitski
2011	J	`jnl`	Tree approximation of the long wave radiation parameterization in the NCAR CAM global climate model. J. Comput. Appl. Math. Alexei A. Belochitski, Peter Binev, Ronald A. DeVore, Michael S. Fox-Rabinovitz, Vladimir M. Krasnopolsky, Philipp Lamby
2010	B	`conf`	Development of neural network convection parameterizations for numerical climate and weather prediction models using cloud resolving model simulations. IJCNN Vladimir M. Krasnopolsky, Michael S. Fox-Rabinovitz, Alexei A. Belochitski
2009	B	`conf`	How to deal with inhomogeneous outputs and high dimensionality of neural network emulations of model physics in numerical climate and weather prediction models. IJCNN Vladimir M. Krasnopolsky, Stephen J. Lord, Shrinivas Moorthi, Todd Spindler
2008	J	`jnl`	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 Vladimir M. Krasnopolsky, Michael S. Fox-Rabinovitz, Hendrik L. Tolman, Alexei A. Belochitski
2008	B	`conf`	Using neural network emulations of model physics in numerical model ensembles. IJCNN Vladimir M. Krasnopolsky, Michael S. Fox-Rabinovitz, Alexei A. Belochitski
2007	B	`conf`	Compound Parameterization for a Quality Control of Outliers and Larger Errors in Neural Network Emulations of Model Physics. IJCNN Vladimir M. Krasnopolsky, Michael S. Fox-Rabinovitz, Alexei A. Belochitski
2007	J	`jnl`	Computational intelligence in earth and environmental sciences. Neural Networks Vladimir Cherkassky, William Hsieh, Vladimir M. Krasnopolsky, Dimitri P. Solomatine, Julio J. Valdés
2007	J	`jnl`	Reducing uncertainties in neural network Jacobians and improving accuracy of neural network emulations with NN ensemble approaches. Neural Networks Vladimir M. Krasnopolsky
2006	J	`jnl`	2006 Special issue: Earth Sciences and Environmental Applications of Computational IntelligenceIntroduction. Neural Networks Vladimir Cherkassky, Vladimir M. Krasnopolsky, Dimitri P. Solomatine, Julio J. Valdés
2006	J	`jnl`	Complex hybrid models combining deterministic and machine learning components for numerical climate modeling and weather prediction. Neural Networks Vladimir M. Krasnopolsky, Michael S. Fox-Rabinovitz
2006	J	`jnl`	Computational intelligence in earth sciences and environmental applications: Issues and challenges. Neural Networks Vladimir Cherkassky, Vladimir M. Krasnopolsky, Dimitri P. Solomatine, Julio J. Valdés
2006	B	`conf`	Ensemble of Neural Network Emulations for Climate Model Physics: The Impact on Climate Simulations. IJCNN Michael S. Fox-Rabinovitz, Vladimir M. Krasnopolsky, Alexei A. Belochitski
2006	B	`conf`	Reducing Uncertainties in Neural Network Jacobians and Improving Accuracy of Neural Network Emulations with NN Ensemble Approaches. IJCNN Vladimir M. Krasnopolsky
2006	B	`conf`	Using Neural Network to Enhance Assimilating Sea Surface Height Data into an Ocean Model. IJCNN Vladimir M. Krasnopolsky, Carlos J. Lozano, Deanna Spindler, Ilya Rivin, Desiraju B. Rao
2005	B	`conf`	Complex hybrid models combining deterministic and machine learning components as a new synergetic paradigm in numerical climate modeling and weather prediction. IJCNN Vladimir M. Krasnopolsky, Michael S. Fox-Rabinovitz
2005	B	`conf`	Robustness of the NN Approach to emulating atmospheric long wave radiation in complex climate models. IJCNN Vladimir M. Krasnopolsky, Michael S. Fox-Rabinovitz, Ming-Dah Chou
2005	B	`conf`	Special session panel discussion: methodological issues in the application of learning methods to climate modeling and Earth sciences. IJCNN Vladimir Cherkassky, Vladimir M. Krasnopolsky, Dimitri P. Solomatine, Julio J. Valdés
2003	J	`jnl`	Some neural network applications in environmental sciences. Part I: forward and inverse problems in geophysical remote measurements. Neural Networks Vladimir M. Krasnopolsky, Helmut Schiller
2003	J	`jnl`	Some neural network applications in environmental sciences. Part II: advancing computational efficiency of environmental numerical models. Neural Networks Vladimir M. Krasnopolsky, Frédéric Chevallier
1999	B	`conf`	Using NNs to retrieve multiple geophysical parameters from satellite data. IJCNN Vladimir M. Krasnopolsky