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In this paper, neural networks trained with the back-propagation algorithm are applied to predict the future values of time series that consist of the weekly demand on items in a supermarket. The influencing indicators of prices, advertising campaigns and holidays are taken into consideration. The design and implementation of a neural network forecasting system is described that has been installed...
This paper presents SAccO (Scalable Accelerator platform Osnabrück), a novel framework for implementing data-intensive applications using scalable and portable reconfigurable hardware accelerators. Instead of using expensive “reconfigurable supercomputers”, SAccO is based on standard PCs and PCI-Express extension cards featuring Field-Programmable Gate Arrays (FPGAs) and memory. In our framework,...
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