| Optimization of feedforward neural network by Multiple Particle Collision Algorithm JA Anochi, HF de Campos Velho 2014 IEEE Symposium on Foundations of Computational Intelligence (FOCI), 128-134, 2014 | 32 | 2014 |
| Machine learning for climate precipitation prediction modeling over South America JA Anochi, VA de Almeida, HF de Campos Velho Remote Sensing 13 (13), 2468, 2021 | 28 | 2021 |
| Self-configuring two types of neural networks by MPCA JA ANOCHI, HF CAMPOS VELHO, HCM FURTADO, EFP LUZ Journal of Mechanics Engineering and Automation 5, 112-120, 2015 | 22 | 2015 |
| Automatic configuration for neural network applied to atmospheric temperature profile identification SBM Sambatti, JA Anochi, EFP Luz, AR Carvalho, EH Shiguemori, ... 3rd International Conference on International Conference on Engineering …, 2012 | 14 | 2012 |
| Data assimilation by artificial neural networks for the global FSU atmospheric model: Surface pressure R Cintra, H de Campos Velho, J Anochi, S Cocke 2015 Latin America Congress on Computational Intelligence (LA-CCI), 1-6, 2015 | 13 | 2015 |
| New learning strategy for supervised neural network: MPCA meta-heuristic approach J Anochi, S Sambatti, E Luz, HF de Campos Velho 1st BRICS Countries & 11th CBIC Brazilian Congress on Computational …, 2013 | 13 | 2013 |
| South America seasonal precipitation prediction by gradient-boosting machine-learning approach VS Monego, JA Anochi, HF de Campos Velho Atmosphere 13 (2), 243, 2022 | 12 | 2022 |
| Precipitation patterns over northern Brazil basins: climatology, trends, and associated mechanisms MH Shimizu, JA Anochi, MT Kayano Theoretical and Applied Climatology, 1-17, 2022 | 11 | 2022 |
| Two geoscience applications by optimal neural network architecture JA Anochi, R Hernández Torres, HF de Campos Velho Pure and Applied Geophysics 177 (6), 2663-2683, 2020 | 11 | 2020 |
| Previsão climática de precipitação por redes neurais autoconfiguradas JA Anochi | 10 | 2015 |
| Meteorological data mining for climate precipitation prediction using neural networks JA Anochia, HF de Campos Velho Journal of Computational Interdisciplinary Sciences 2 (2), 71-78, 2015 | 7 | 2015 |
| Machine learning for climate precipitation prediction modeling over South America. Remote Sens 13: 2468 JA Anochi, VA de Almeida, HF de Campos Velho | 6 | 2021 |
| Uso de redes neurais artificiais e teoria de conjuntos aproximativos no estudo de padrões climáticos sazonais JA Anochi, J Silva Learning and Nonlinear Models 7 (2), 2009 | 6 | 2009 |
| Climate precipitation prediction with uncertainty quantification by self-configuring neural network JA Anochi, R Hernández Torres, HF Campos Velho Proceedings of the 5th International Symposium on Uncertainty Quantification …, 2021 | 5 | 2021 |
| Foundations of Computational Intelligence (FOCI) JA Anochi, HF de Campos Velho 2014 IEEE Symposium on, 128-134, 2014 | 5 | 2014 |
| Mesoscale precipitation climate prediction for Brazilian south region by artificial neural networks JA Anochi, HFC Velho American Journal of Environmental Engineering 6 (4A), 94-102, 2016 | 4 | 2016 |
| Previsão climática de precipitação para a região Sul por rede neural autoconfigurada JA Anochi, HF de Campos Velho Ciência e Natura 38, 98-104, 2016 | 4 | 2016 |
| Neural network for seasonal climate precipitation prediction on the Brazil JA Anochi, HFC Velho Ciência e Natura 42 (0), 15-15, 2020 | 3 | 2020 |
| Automatic configuration of an artificial neural network with application to data assimiilation S Sambatti, H Furtado, JA Anochi, EFP da Luz, HF Campos Velho International Conference on Integral Methods in Science and Engineering, 12., 2012 | 3 | 2012 |
| Mpca meta-heuristics for automatic architecture optimization of a supervised artificial neural network SBM Sambatti, JA Anochi, EFP Luz, AR Carvalho, EH Shiguemori, ... Proceedings… World Congress on Computational Mechanics 10, 2012 | 2 | 2012 |
Haroldo Fraga de Campos VelhoSenior Researcher, INPE (National Institute for Space Research, Brazil)Verified email at inpe.br
