Title :
Neural chip SAND/1 for real time pattern recognition
Author :
Eppler, W. ; Fischer, T. ; Gemmeke, H. ; Koder, T. ; Stotzka, R.
Author_Institution :
Forschungszentrum Karlsruhe, Germany
fDate :
8/1/1998 12:00:00 AM
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
Keywords :
diagnostic radiography; medical image processing; neural chips; pattern recognition; real-time systems; systolic arrays; time series; PCI-board; SAND/1; Simple Applicable Neural Device; VME-board; gamma-shower detection; mammography; multidimensional curve fitting; neural chip; neural network chip; pattern recognition; peripheral chips; real time pattern recognition; time series prognosis; Acceleration; Computer networks; Costs; Curve fitting; Gamma ray detection; Gamma ray detectors; Multidimensional systems; Neural network hardware; Neural networks; Pattern recognition;
Journal_Title :
Nuclear Science, IEEE Transactions on