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.
about
Poaceae pollen as the leading aeroallergen worldwide: A review.Climate change: consequences on the pollination of grasses in Perugia (Central Italy). A 33-year-long study.Artificial neural network models as a useful tool to forecast human thermal comfort using microclimatic and bioclimatic data in the great Athens area (Greece).Year clustering analysis for modelling olive flowering phenology.Effect of meteorological parameters on Poaceae pollen in the atmosphere of Tetouan (NW Morocco).Modeling pollen time series using seasonal-trend decomposition procedure based on LOESS smoothing.Forecasting methodologies for Ganoderma spore concentration using combined statistical approaches and model evaluations.Changes in concentration of Alternaria and Cladosporium spores during summer storms.Artificial neural network model of the relationship between Betula pollen and meteorological factors in Szczecin (Poland).Forecasting ragweed pollen characteristics with nonparametric regression methods over the most polluted areas in Europe.Threat of allergenic airborne grass pollen in Szczecin, NW Poland: the dynamics of pollen seasons, effect of meteorological variables and air pollution.Spatio-temporal flowering patterns in Mediterranean Poaceae. A community study in SW Spain.Plants remember past weather: a study for atmospheric pollen concentrations of Ambrosia, Poaceae and PopulusAssessment of the daily ragweed pollen concentration with previous-day meteorological variables using regression and quantile regression analysis for Szeged, HungaryComparison of Poaceae pollen counts recorded at sites in Portugal, Spain and the UKOne-Day Prediction of Biometeorological Conditions in a Mediterranean Urban Environment Using Artificial Neural Networks ModelingRelationship between flowering phenology, pollen production and atmospheric pollen concentration of Plantago lanceolata (L.)
P2860
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P2860
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.
description
2005 nî lūn-bûn
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2005年の論文
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2005年学术文章
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2005年学术文章
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name
The use of discriminant analys ...... typical Mediterranean climate.
@en
type
label
The use of discriminant analys ...... typical Mediterranean climate.
@en
prefLabel
The use of discriminant analys ...... typical Mediterranean climate.
@en
P2093
P1476
The use of discriminant analys ...... typical Mediterranean climate.
@en
P2093
Carmen Galán
César Hervás
Juan Antonio Sánchez Mesa
P2888
P304
P356
10.1007/S00484-005-0260-8
P577
2005-03-24T00:00:00Z