.png){kind=icon}
.png){kind=icon}
Return
Integer sparse distributed memory: Analysis and results
.png){kind=icon}
PRE
AI
DOI：10.1016/j.neunet.2013.05.005.png)
.png){kind=icon}
Original request for help.png){kind=icon}
Share.png){kind=icon}
Save
Abstract
En 中文
Sparse distributed memory is an auto-associative memory system that stores high dimensional Boolean vectors. Here we present an extension of the original SDM, the Integer SDM that uses modular arithmetic integer vectors rather than binary vectors. This extension preserves many of the desirable properties of the original SDM: auto-associativity, content addressability, distributed storage, and robustness over noisy inputs. In addition, it improves the representation capabilities of the memory and is more robust over normalization. It can also be extended to support forgetting and reliable sequence storage. We performed several simulations that test the noise robustness property and capacity of the memory. Theoretical analyses of the memory's fidelity and capacity are also presented. (C) 2013 Elsevier Ltd. All rights reserved.
Keywords:
Sparse distributed memory
High dimensional space
Auto-associative memory