Publication detail

Self-Organized Sparse Distributed Memory -- an Application

GREBENÍČEK, F.

Original Title

Self-Organized Sparse Distributed Memory -- an Application

Type

article in a collection out of WoS and Scopus

Language

English

Original Abstract

The paper discuses an extension of Kanerva's Sparse Distributed Memory (SDM) and introduces possible application in storage and retrieval sequences (predicting). A self-organizing SDM equivalent to a three-layered neural network is used to learn the desired transfer function mapping a sequence (history) of 2D points to next point. The net was tested in simple experiment, where some kinds of Lissajous curves was successfully stored and retrieved.

Keywords

Neural Net, Self-Organizing Map, Soft Competitive Learning Rule, Sparse Distributed Memory, Prediction

Authors

GREBENÍČEK, F.

Released

1. 1. 1999

Location

Krnov

ISBN

80-85988-41-0

Book

ASIS '99

Pages from

39

Pages to

44

Pages count

6

URL

http://www.fee.vutbr.cz/~grebenic/Publikace/Asis99/

BibTex

@inproceedings{BUT192154,
  author="František {Grebeníček}",
  title="Self-Organized Sparse Distributed Memory -- an Application",
  booktitle="ASIS '99",
  year="1999",
  pages="39--44",
  address="Krnov",
  isbn="80-85988-41-0",
  url="http://www.fee.vutbr.cz/~grebenic/Publikace/Asis99/"
}