3 search results - page 1 / 1 » Forecasting airborne pollen concentration time series with n... |
ESWA
2007
13 years 4 months ago
2007
Forecasting airborne pollen concentrations is one of the most studied topics in aerobiology, due to its crucial application to allergology. The most used tools for this problem ar...
EUSFLAT
2009
13 years 2 months ago
2009
This paper presents an adaptive neuro-fuzzy inference system (ANFIS) for USD/JPY exchange rates forecasting. Previous work often used time series techniques and neural networks (NN...
ICANN
2010
Springer
13 years 6 months ago
2010
Springer
Abstract. Local air quality forecasting can be made on the basis of meteorological and air pollution time series. Such data contain redundant information. Partial mutual informatio...