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Published in 2018 at "Aerobiologia"
DOI: 10.1007/s10453-018-9507-9
Abstract: Forecasting daily airborne pollen concentrations is of great importance for management of seasonal allergies. This paper explores the performance of the pollen calendar as the most basic observation-oriented model for predicting daily concentrations of airborne…
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Keywords:
pollen;
pollen calendar;
ambrosia betula;
betula poaceae ... See more keywords
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Published in 2017 at "Physics of Particles and Nuclei Letters"
DOI: 10.1134/s1547477117040112
Abstract: In [1] we demonstrated the possibility in principle for short-term forecasting of daily volumes of passenger traffic in the Moscow metro with the help of artificial neural networks. During training and predicting, a set of…
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Keywords:
forecasting daily;
artificial neural;
consumption moscow;
moscow region ... See more keywords
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Published in 2018 at "Physics of Particles and Nuclei Letters"
DOI: 10.1134/s1547477118010089
Abstract: In this paper we have developed a methodology for the medium-term prediction of daily volumes of passenger traffic in the Moscow metro. It includes three options for the forecast: (1) based on artificial neural networks…
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Keywords:
passenger traffic;
forecasting daily;
moscow metro;
daily passenger ... See more keywords