Optimising memory usage in n-tuple neural networks

R.J. Mitchell, J.M. Bishop and P.R. Minchinton

Mathematics and Computers in Simulation (MATCOM), 1996, vol. 40, issue 5, 549-563

Abstract: The use of n-tuple or weightless neural networks as pattern recognition devices is well known (Aleksander and Stonham, 1979). They have some significant advantages over the more common and biologically plausible networks, such as multi-layer perceptrons; for example, n-tuple networks have been used for a variety of tasks, the most popular being real-time pattern recognition, and they can be implemented easily in hardware as they use standard random access memories.

Keywords: Neural networks; Pattern recognition (search for similar items in EconPapers)
Date: 1996
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Persistent link: https://EconPapers.repec.org/RePEc:eee:matcom:v:40:y:1996:i:5:p:549-563

DOI: 10.1016/0378-4754(95)00006-2

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