| * | 2008 |
| 13 | EE | 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 |
| 12 | EE | 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) |
| 2007 |
| 11 | EE | 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 |
| 10 | EE | 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) |
| 9 | EE | 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) |
| 2006 |
| 8 | EE | 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 |
| 7 | EE | 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 |
| 6 | EE | Vladimir M. Krasnopolsky:
Reducing Uncertainties in Neural Network Jacobians and Improving Accuracy of Neural Network Emulations with NN Ensemble Approaches.
IJCNN 2006: 4587-4594 |
| 5 | EE | 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) |
| 4 | EE | 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) |
| 3 | EE | 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) |
| 2003 |
| 2 | EE | 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) |
| 1 | EE | 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) |