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- W106580617 abstract "Summary form only given. Neural nets have a rather curious place in the field of symbolic processing. In fact, one role which they play well is to turn ill-defined, large-scale data (as found at the output of vision and speech transducers) into well defined symbols. Another role is that of associative retrieval: the discovery of missing symbols in partial 'records'. It is becoming clear that much of the potential of this approach can only be exploited through the hardware realisation of the nets themselves. The author briefly reviews the various approaches: analogue; digital; optical; logical. A case is made for the last of these. >" @default.
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- W106580617 date "1989-03-09" @default.
- W106580617 modified "2023-09-23" @default.
- W106580617 title "Logical neural nets for easy VLSI" @default.
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