Title : 
The Improved Correlation Matrix Memory (CMML)
         
        
            Author : 
Shah, Nimish ; O´Keefe, Simon ; Austin, Jim
         
        
            Author_Institution : 
York Univ., York
         
        
        
        
        
        
            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;
         
        
        
        
            Conference_Titel : 
Neural Networks, 2007. IJCNN 2007. International Joint Conference on
         
        
            Conference_Location : 
Orlando, FL
         
        
        
            Print_ISBN : 
978-1-4244-1379-9
         
        
            Electronic_ISBN : 
1098-7576
         
        
        
            DOI : 
10.1109/IJCNN.2007.4371123