Single Categorizing and Learning Module for Temporal Sequences

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F04%3A03099378" target="_blank" >RIV/68407700:21230/04:03099378 - isvavai.cz</a>

Result on the web

—

DOI - Digital Object Identifier

—

Result language

angličtina

Original language name

Single Categorizing and Learning Module for Temporal Sequences

Original language description

Modifications of an existing neural network called Categorizing and Learning Module (CALM) that allow learning of temporal sequences are introduced in this paper. We embedded an associative learning mechanism which allows to look into the past when classifying present stimuli. We have built in the Euclidean metrics instead of the weighted sum found in the original learning rule. This improvement allows better discrimination in case of learning low dimensional patterns in the temporal sequences. Resultswere obtained from testing the enhanced module on simple artificial data. These experiments promise applicability of the enhanced module in a real problem domain.

Czech name

Není k dispozici

Czech description

Není k dispozici

Type

A - Audiovisual production

CEP classification

JC - Computer hardware and software

OECD FORD branch

—

Project

—

Continuities

Z - Vyzkumny zamer (s odkazem do CEZ)

Publication year

2004

Confidentiality

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

ISBN

0-7803-8360-5

Place of publication

Piscataway

Publisher/client name

—

Version

—

Carrier ID

neuvedeno