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Fuzzy Control pp 313-317 | Cite as

Self-Learning Fuzzy Models and Neural Models in Environment Prediction

  • Gheorge M. Sandulescu
  • Mariana Bistran
Conference paper
Part of the Advances in Soft Computing book series (AINSC, volume 6)

Abstract

Based on a special neural network approach we show efficient ways to tackle non-linear processes in air pollution problems.

Keywords

Time Machine Neural Model Back Propagation Neural Network Vague Predicate Large Scale Computation 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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References

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    Sandulescu, G.M., M. Bistran, M.: Neural, Fuzzy Modelling in Pollution, an Interesting Alternative to Other Procedures: An Overview and PC Illustrations of Some Experiments. In: Proc. NATO Advanced Workshop “On Large Scale Computations In Air Pollution Modelling”, Sofia, Bulgaria (1998)Google Scholar
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Copyright information

© Springer-Verlag Berlin Heidelberg 2000

Authors and Affiliations

  • Gheorge M. Sandulescu
    • 1
  • Mariana Bistran
    • 1
  1. 1.Artificial Intelligence Laboratory - SIA at IPA SABucharestRomania

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