Time series forecasting is an important area of forecasting in which past observations of the same variable are … models, autoregressive (AR) techniques, moving averages (MA) etc. Recent research activities in forecasting also suggested … that artificial neural networks can be used as an alternative to traditional linear forecasting models. This study will …

Neural network, financial time series, approximation, forecasting. - Neuronale Netze, Finanzzeitreihen, Prognose …

combinatory procedures as forecasting techniques to improve the predictive accuracy of hog price outlook forecasts. Many of these … forecasting techniques have never been applied to livestock markets. Quarterly data from the mid- to late-1970s through 2007 for … improving Iowa’s price forecasting performance via composite procedures.Finally, given the potential benefits of forecast …