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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Shah, N. O'Keefe, S. Austin, J. |
| Copyright Year | 2007 |
| Description | Author affiliation: York Univ., York (Shah, N.; O'Keefe, S.; Austin, J.) |
| 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. |
| Starting Page | 1168 |
| Ending Page | 1173 |
| File Size | 443456 |
| Page Count | 6 |
| File Format | |
| ISBN | 9781424413799 |
| ISSN | 10987576 |
| DOI | 10.1109/IJCNN.2007.4371123 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2007-08-12 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Coordinate measuring machines Neural networks Read-write memory Heart Logic gates Random access memory Neural network hardware Training data World Wide Web Computer science |
| Content Type | Text |
| Resource Type | Article |
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