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Journals in DBLP

Neural Networks
2006, volume: 19, number: 2

  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, 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]
  4. Yonas B. Dibike, Paulin Coulibaly
    Temporal neural networks for downscaling climate variability and extremes. [Citation Graph (0, 0)][DBLP]
    Neural Networks, 2006, v:19, n:2, pp:135-144 [Journal]
  5. Aiming Wu, William W. Hsieh, Benyang Tang
    Neural network forecasts of the tropical Pacific sea surface temperatures. [Citation Graph (0, 0)][DBLP]
    Neural Networks, 2006, v:19, n:2, pp:145-154 [Journal]
  6. Alexander Ilin, Harri Valpola, Erkki Oja
    Exploratory analysis of climate data using source separation methods. [Citation Graph (0, 0)][DBLP]
    Neural Networks, 2006, v:19, n:2, pp:155-167 [Journal]
  7. Diego Loyola
    Applications of neural network methods to the processing of earth observation satellite data. [Citation Graph (0, 0)][DBLP]
    Neural Networks, 2006, v:19, n:2, pp:168-177 [Journal]
  8. Julien Brajard, Cédric Jamet, Cyril Moulin, Sylvie Thiria
    Use of a neuro-variational inversion for retrieving oceanic and atmospheric constituents from satellite ocean colour sensor: Application to absorbing aerosols. [Citation Graph (0, 0)][DBLP]
    Neural Networks, 2006, v:19, n:2, pp:178-185 [Journal]
  9. Biswanath Bhattacharya, Dimitri P. Solomatine
    Machine learning in soil classification. [Citation Graph (0, 0)][DBLP]
    Neural Networks, 2006, v:19, n:2, pp:186-195 [Journal]
  10. Julio J. Valdés, Graeme Bonham-Carter
    Time dependent neural network models for detecting changes of state in complex processes: Applications in earth sciences and astronomy. [Citation Graph (0, 0)][DBLP]
    Neural Networks, 2006, v:19, n:2, pp:196-207 [Journal]
  11. Biswanath Bhattacharya, Dimitri P. Solomatine
    Machine learning in sedimentation modelling. [Citation Graph (0, 0)][DBLP]
    Neural Networks, 2006, v:19, n:2, pp:208-214 [Journal]
  12. Dimitri P. Solomatine, M. B. Siek
    Modular learning models in forecasting natural phenomena. [Citation Graph (0, 0)][DBLP]
    Neural Networks, 2006, v:19, n:2, pp:215-224 [Journal]
  13. Durga L. Shrestha, Dimitri P. Solomatine
    Machine learning approaches for estimation of prediction interval for the model output. [Citation Graph (0, 0)][DBLP]
    Neural Networks, 2006, v:19, n:2, pp:225-235 [Journal]
  14. Christian W. Dawson, Linda M. See, Robert J. Abrahart, Alison J. Heppenstall
    Symbiotic adaptive neuro-evolution applied to rainfall-runoff modelling in northern England. [Citation Graph (0, 0)][DBLP]
    Neural Networks, 2006, v:19, n:2, pp:236-247 [Journal]
  15. William B. Levy, Ashlie B. Hocking, Xiangbao Wu
    Erratum to: Interpreting hippocampal function as recoding and forecasting [Neural Networks 18 (9) 1242-1264]. [Citation Graph (0, 0)][DBLP]
    Neural Networks, 2006, v:19, n:2, pp:248- [Journal]
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