Self-Organizing Sparse Distributed Memory as a Predictive Memory

Result code in IS VaVaI

RIV/00216305:26220/99:43801064 - isvavai.cz

Result on the web

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DOI - Digital Object Identifier

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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

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Czech description

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Type

D - Article in proceedings

CEP classification

JC - Computer hardware and software

OECD FORD branch

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Project

GA102/98/0552: Research and applications of heterogenous models

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

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e-ISSN

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Number of pages

6

Pages from-to

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Publisher name

TU Brno, Faculty of Technology Zlin

Place of publication

Zlín

Event location

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Event date

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Type of event by nationality

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UT code for WoS article

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