Title :
Auto-associative memory using n-tuple techniques
Author :
Bishop, J.M. ; Mitchell, R.J.
Author_Institution :
Dept. of Cybern., Reading Univ., UK
Abstract :
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
Keywords :
content-addressable storage; neural nets; pattern classification; auto-associative memory; auto-associative network; n-tuple techniques; pattern classification; pattern recognition; weightless neural networks;
Journal_Title :
Intelligent Systems Engineering
