ARTIFICIAL INTELLIGENCE IN ASTROPHYSICS

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F70883521%3A28110%2F01%3A00000087" target="_blank" >RIV/70883521:28110/01:00000087 - isvavai.cz</a>

Výsledek na webu

—

DOI - Digital Object Identifier

—

Jazyk výsledku

angličtina

Název v původním jazyce

ARTIFICIAL INTELLIGENCE IN ASTROPHYSICS

Popis výsledku v původním jazyce

In this contribution is shown, what are possible perspectives of some selected methods of artificial intelligence in astrophysics, especially in prediction. Two methods and one special approach were selected here. The first method is so called neural networks. They are discussed in the first part of this participation including some simulations for demonstration. They are followed by discussion of fractal geometry and its possibility in time series processing. In the second part is shown how can be usedevolutionary algorithms for retrieval of suitable predictive models. Two new different algorithms were used for simulations described here. The first one was differential evolution (DE) and the second one was Self-Organizing Migrating Algorithm (SOMA). Both algorithms were used in the same way to find the best model whose response is comparable with given time series as much as possible. Problem was build up like problem of optimization where the cost function was based on difference bet

Název v anglickém jazyce

ARTIFICIAL INTELLIGENCE IN ASTROPHYSICS

Popis výsledku anglicky

In this contribution is shown, what are possible perspectives of some selected methods of artificial intelligence in astrophysics, especially in prediction. Two methods and one special approach were selected here. The first method is so called neural networks. They are discussed in the first part of this participation including some simulations for demonstration. They are followed by discussion of fractal geometry and its possibility in time series processing. In the second part is shown how can be usedevolutionary algorithms for retrieval of suitable predictive models. Two new different algorithms were used for simulations described here. The first one was differential evolution (DE) and the second one was Self-Organizing Migrating Algorithm (SOMA). Both algorithms were used in the same way to find the best model whose response is comparable with given time series as much as possible. Problem was build up like problem of optimization where the cost function was based on difference bet

Druh

D - Stať ve sborníku

CEP obor

BN - Astronomie a nebeská mechanika, astrofyzika

OECD FORD obor

—

Projekt

Výsledek vznikl pri realizaci vícero projektů. Více informací v záložce Projekty.

Návaznosti

Z - Vyzkumny zamer (s odkazem do CEZ)

Rok uplatnění

2001

Kód důvěrnosti údajů

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

Název statě ve sborníku

HaPMK

ISBN

—

ISSN

—

e-ISSN

—

Počet stran výsledku

20

Strana od-do

—

Název nakladatele

Hvězdárna a planetárium Mikuláše Koperníka

Místo vydání

Brno

Místo konání akce

Brno

Datum konání akce

8. 11. 2001

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

—