Title :
Improving the performance of Kanerva´s associate memory
Author :
Ryan, Shaun W. ; Andreae, John H.
Author_Institution :
Dept. of Electr. & Electron. Eng., Canterbury Univ., Christchurch, New Zealand
fDate :
1/1/1995 12:00:00 AM
Abstract :
A parallel associative memory first proposed by Kanerva (1988) is discussed. The major appeal of this memory is its ability to be trained very rapidly. A discrepancy between Kanerva´s theoretical calculation of capacity and the actual capacity is demonstrated experimentally and a corrected theory is offered. A modified method of reading from memory is suggested which results in a capacity nearly the same as that originally predicted by Kanerva. The capacity of the memory is then analyzed for a different method of writing to memory. This method increases the capacity of the memory by an order of magnitude. A further modification is suggested which increases the learning rate of this method
Keywords :
content-addressable storage; memory architecture; associate memory; memory capacity calculation; parallel associative memory; sparse distributed memory; Associative memory; Error analysis; Hamming distance; Testing; Writing;
Journal_Title :
Neural Networks, IEEE Transactions on