Self-Organizing Sparse Distributed Memory as a Predictive Memory

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26220%2F99%3A43801064" target="_blank" >RIV/00216305:26220/99:43801064 - isvavai.cz</a>

Result on the web

—

DOI - Digital Object Identifier

—

Result language

angličtina

Original language name

Self-Organizing Sparse Distributed Memory as a Predictive Memory

Original language description

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.

Czech name

—

Czech description

—

Type

D - Article in proceedings

CEP classification

JC - Computer hardware and software

OECD FORD branch

—

Project

<a href="/en/project/GA102%2F98%2F0552" target="_blank" >GA102/98/0552: Research and applications of heterogenous models</a><br>

Continuities

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Publication year

1999

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection

Nostradamus '99

ISBN

80-214-1424-3

ISSN

—

e-ISSN

—

Number of pages

6

Pages from-to

—

Publisher name

TU Brno, Faculty of Technology Zlin

Place of publication

Zlín

Event location

—

Event date

—

Type of event by nationality

—

UT code for WoS article

—