Neural Networks - Part of Digital Systems

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F06%3A00126096" target="_blank" >RIV/68407700:21230/06:00126096 - isvavai.cz</a>

Výsledek na webu

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DOI - Digital Object Identifier

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Jazyk výsledku

angličtina

Název v původním jazyce

Neural Networks - Part of Digital Systems

Popis výsledku v původním jazyce

This contribution should have been bring the initial information about ANN, about their leading representatives, manner and form their applications, about advantages and disadvantages with which we must face up to their applications. Today, many professional software products concerning neural networks there have been already available. It is necessary to know when, where and how the ANN has to be used to produce of actual profit. We must to know their qualities and be able to turn profit their eligibilities. It is to be done as one's homework with a theoretical background and get up their use. This paper does not propose to describe all known paradigms today but only two representatives of them. They are MLNN with BPG algorithm and self-organizing neural network based on competitive learning.One of the possible applications which use the Kohonen SOM described in more details at the end. It is Supervised SOM, which is used for the children speech disorder analysis.

Název v anglickém jazyce

Neural Networks - Part of Digital Systems

Popis výsledku anglicky

This contribution should have been bring the initial information about ANN, about their leading representatives, manner and form their applications, about advantages and disadvantages with which we must face up to their applications. Today, many professional software products concerning neural networks there have been already available. It is necessary to know when, where and how the ANN has to be used to produce of actual profit. We must to know their qualities and be able to turn profit their eligibilities. It is to be done as one's homework with a theoretical background and get up their use. This paper does not propose to describe all known paradigms today but only two representatives of them. They are MLNN with BPG algorithm and self-organizing neural network based on competitive learning.One of the possible applications which use the Kohonen SOM described in more details at the end. It is Supervised SOM, which is used for the children speech disorder analysis.

Druh

D - Stať ve sborníku

CEP obor

JA - Elektronika a optoelektronika, elektrotechnika

OECD FORD obor

—

Projekt

<a href="/cs/project/GA102%2F05%2F0278" target="_blank" >GA102/05/0278: Nové směry ve výzkumu a využití hlasových technologií</a><br>

Návaznosti

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

Rok uplatnění

2006

Kód důvěrnosti údajů

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

Název statě ve sborníku

Digital Technologies 2006 - 3rd International Workshop

ISBN

80-8070-637-9

ISSN

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e-ISSN

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Počet stran výsledku

8

Strana od-do

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Název nakladatele

Žilinská universita, Elektrotechnická fakulta

Místo vydání

Žilina

Místo konání akce

Žilina

Datum konání akce

1. 12. 2006

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

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