.png){kind=icon}
返回
Extended Sparse Distributed Memory and Sequence Storage
.png){kind=icon}
PRE
AI
DOI：10.1007/s12559-012-9125-8.png)
.png){kind=icon}
原文求助.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
Sparse distributed memory (SDM) is an auto-associative memory system that stores high-dimensional Boolean vectors. SDM uses the same vector for the data (word) and the location where it is stored (address). Here, we present an extension of the original SDM that uses word vectors of larger size than address vectors. This extension preserves many of the desirable properties of the original SDM: auto-associability, content addressability, distributed storage and robustness over noisy inputs. In addition, it adds new functionality, enabling an efficient auto-associative storage of sequences of vectors, as well as of other data structures such as trees. Simulations testing this new memory are described.
Keyword:
Sparse distributed memory
Episodic memory
Sequence representation
Cognitive modeling
期刊
IF:
4.3
论文数:
1.6K
被引数:
3.6K
机构
引用论文
Hyperdimensional Computing: An Introduction to Computing in Distributed Representation with High-Dimensional Random Vectors超维计算: 高维随机向量分布式表示计算简介
PREAI
分享收藏Rapid learning and robust recall of long sequences in modular associator networks.png)
NEUROCOMPUTING
NEUROCOMPUTINGIF6.5
PREAI
分享收藏
Tunable ultra-narrow linewidth microwave generation from a double-loop Brillouin fiber laser双环布里渊光纤激光器的可调谐超窄线宽微波产生
PREAI
分享收藏A genetic sparse distributed memory approach to the application of handwritten character recognitionPATTERN RECOGNITION
PATTERN RECOGNITIONIF7.6
PREAI
分享收藏
查看更多内容