Publication detail

Self-Organizing Sparse Distributed Memory as a Predictive Memory

GREBENÍČEK, F.

Original Title

Self-Organizing Sparse Distributed Memory as a Predictive Memory

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 prediction. A self-organizing SDM equivalent to a three-layered neural network is used to learn the desired transfer function mapping a history of velocity vectors to predicted velocity vector. The net was tested in simple mouse-tracking experiment, but can be used in more handy problems, for example in motion capturing systems.

Keywords

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

Authors

GREBENÍČEK, F.

Released

1. 1. 1999

Publisher

unknown

Location

Zlín

ISBN

80-214-1424-3

Book

Nostradamus '99

Pages from

17

Pages to

22

Pages count

6

URL

http://ft3.zlin.vutbr.cz/nostra/PRESENT/PRESENT.HTM

BibTex

@inproceedings{BUT192155,
  author="František {Grebeníček}",
  title="Self-Organizing Sparse Distributed Memory as a Predictive Memory",
  booktitle="Nostradamus '99",
  year="1999",
  pages="17--22",
  publisher="unknown",
  address="Zlín",
  isbn="80-214-1424-3",
  url="http://ft3.zlin.vutbr.cz/nostra/PRESENT/PRESENT.HTM"
}