DocumentCode :
1944201
Title :
The Improved Correlation Matrix Memory (CMML)
Author :
Shah, Nimish ; O´Keefe, Simon ; Austin, Jim
Author_Institution :
York Univ., York
fYear :
2007
fDate :
12-17 Aug. 2007
Firstpage :
1168
Lastpage :
1173
Abstract :
Twenty years ago a paper detailing a novel neural network, called ADAM and that could be directly implemented in hardware RAM, was published in the first conference of this series. Subsequent research based directly/indirectly on this type of RAM-based neural network founded a research group that has produced over 200 research documents. This paper overviews that research and goes on to mathematically define a CMML, a generalised version of a CMM (the component at the heart of ADAM). The CMML can be trained to replicate the exact computational properties of a CMM and so is a plug-and-play replacement to a CMM; whilst a different training algorithm gives it different properties when used in recall.
Keywords :
neural net architecture; random-access storage; RAM-based neural network; correlation matrix memory; plug-and-play replacement; Computer science; Coordinate measuring machines; Heart; Logic gates; Neural network hardware; Neural networks; Random access memory; Read-write memory; Training data; World Wide Web;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Neural Networks, 2007. IJCNN 2007. International Joint Conference on
Conference_Location :
Orlando, FL
ISSN :
1098-7576
Print_ISBN :
978-1-4244-1379-9
Electronic_ISBN :
1098-7576
Type :
conf
DOI :
10.1109/IJCNN.2007.4371123
Filename :
4371123
Link To Document :
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