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Sparse distributed memory and related models
| Content Provider | NASA Technical Reports Server (NTRS) |
|---|---|
| Author | Kanerva, Pentti |
| Copyright Year | 1992 |
| Description | Described here is sparse distributed memory (SDM) as a neural-net associative memory. It is characterized by two weight matrices and by a large internal dimension - the number of hidden units is much larger than the number of input or output units. The first matrix, A, is fixed and possibly random, and the second matrix, C, is modifiable. The SDM is compared and contrasted to (1) computer memory, (2) correlation-matrix memory, (3) feet-forward artificial neural network, (4) cortex of the cerebellum, (5) Marr and Albus models of the cerebellum, and (6) Albus' cerebellar model arithmetic computer (CMAC). Several variations of the basic SDM design are discussed: the selected-coordinate and hyperplane designs of Jaeckel, the pseudorandom associative neural memory of Hassoun, and SDM with real-valued input variables by Prager and Fallside. SDM research conducted mainly at the Research Institute for Advanced Computer Science (RIACS) in 1986-1991 is highlighted. |
| File Size | 2794672 |
| Page Count | 58 |
| File Format | |
| Alternate Webpage(s) | http://archive.org/details/NASA_NTRS_Archive_19920021480 |
| Archival Resource Key | ark:/13960/t44r2t58h |
| Language | English |
| Publisher Date | 1992-04-01 |
| Access Restriction | Open |
| Subject Keyword | Computer Operations And Hardware Cerebellum Correlation Analogies Neural Nets Coordinates Hyperplanes Artificial Intelligence Memory Computers Matrices Mathematics Neurophysiology Arithmetic Ntrs Nasa Technical Reports ServerĀ (ntrs) Nasa Technical Reports Server Aerodynamics Aircraft Aerospace Engineering Aerospace Aeronautic Space Science |
| Content Type | Text |
| Resource Type | Technical Report |