Bishop, J. M. and Mitchell, R. J. (1994) Auto-associative memory using n-tuple techniques. Intelligent Systems Engineering, 3 (4). pp. 222-230. ISSN 0963-9640
Abstract/Summary
The use of n-tuple or weightless neural networks as pattern recognition devices has been well documented. They have a significant advantages over more common networks paradigms, such as the multilayer perceptron in that they can be easily implemented in digital hardware using standard random access memories. To date, n-tuple networks have predominantly been used as fast pattern classification devices. The paper describes how n-tuple techniques can be used in the hardware implementation of a general auto-associative network.
Item Type | Article |
URI | https://reading-clone.eprints-hosting.org/id/eprint/18984 |
Item Type | Article |
Refereed | Yes |
Divisions | Science > School of Mathematical, Physical and Computational Sciences > Department of Computer Science |
Uncontrolled Keywords | auto-associative memory, auto-associative network, n-tuple techniques, pattern classification, pattern recognition, weightless neural networks |
Publisher | IEEE |
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