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In an experimental quantitative research design, data from the Futures Market for commodities and foreign exchange futures covering 1986-2011 were obtained and addressed. A General Regression Neural Network was overlaid on this data to deduce a time-series prediction model for wheat prices. Performance prediction error was only 4.42%.
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