The use of discriminant analysis and neural networks to forecast the severity of the Poaceae pollen season in a region with a typical Mediterranean climate.

@article{Mesa2005TheUO,
  title={The use of discriminant analysis and neural networks to forecast the severity of the Poaceae pollen season in a region with a typical Mediterranean climate.},
  author={Juan Antonio S{\'a}nchez Mesa and Carmen Gal{\'a}n and C. Mart{\'i}n Herv{\'a}s},
  journal={International journal of biometeorology},
  year={2005},
  volume={49 6},
  pages={355-62}
}
Biological particles in the air such as pollen grains can cause environmental problems in the allergic population. Medical studies report that a prior knowledge of pollen season severity can be useful in the management of pollen-related diseases. The aim of this work was to forecast the severity of the Poaceae pollen season by using weather parameters prior to the pollen season. To carry out the study a historical database of 21 years of pollen and meteorological data was used. First, the years… CONTINUE READING
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