ARTIFICIAL INTELLIGENCE IN ASTROPHYSICS

Result code in 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>
Result on the web
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DOI - Digital Object Identifier
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Result language
angličtina
Original language name
ARTIFICIAL INTELLIGENCE IN ASTROPHYSICS
Original language description
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
Czech name
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Czech description
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Project
Result was created during the realization of more than one project. More information in the Projects tab.
Continuities
Z - Vyzkumny zamer (s odkazem do CEZ)

Publication year
2001
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

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