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Auto-associative memory using n-tuple techniques

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

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Official URL: http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumb...

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
Refereed:Yes
Divisions:Faculty of Science > School of Mathematical, Physical and Computational Sciences > Department of Computer Science
ID Code:18984
Uncontrolled Keywords:auto-associative memory, auto-associative network, n-tuple techniques, pattern classification, pattern recognition, weightless neural networks
Publisher:IEEE

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