Abstract
The neural chip SAND/1 (Simple Applicable Neural Device) was designed to accelerate computations of neural networks at a very low cost basis. Low cost means that only few peripheral chips are necessary to use the neural network chip in applications. The design criterions of the chip are described. A PCI-board was developed and a VME-board is under construction to facilitate applications. At present, time series prognosis, multidimensional curve fitting, pattern recognition in gamma-shower detection and mammography are under evaluation. The last application is described in more detail.
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