About: ARTIFICIAL INTELLIGENCE IN ASTROPHYSICS

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An Entity of Type : http://linked.opendata.cz/ontology/domain/vavai/Vysledek, within Data Space : linked.opendata.cz associated with source document(s)

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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 between original t 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 between original t (en)
Title	ARTIFICIAL INTELLIGENCE IN ASTROPHYSICS ARTIFICIAL INTELLIGENCE IN ASTROPHYSICS (en)
skos:prefLabel	ARTIFICIAL INTELLIGENCE IN ASTROPHYSICS ARTIFICIAL INTELLIGENCE IN ASTROPHYSICS (en)
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http://linked.open...avai/riv/aktivity	P(GA102/00/0526), P(GA102/99/1292), Z(MSM 265200014)
http://linked.open...vai/riv/dodaniDat	2002
http://linked.open...aciTvurceVysledku	Zelinka, Ivan
http://linked.open.../riv/druhVysledku	D - Článek ve sborníku
http://linked.open...iv/duvernostUdaju	S - Úplné a pravdivé údaje nepodléhající ochraně podle zvláštních právních předpisů
http://linked.open...titaPredkladatele	Univerzita Tomáše Bati ve Zlíně / Fakulta technologická
http://linked.open...dnocenehoVysledku	673886
http://linked.open...ai/riv/idVysledku	RIV/70883521:28110/01:00000087
http://linked.open...riv/jazykVysledku	eng - angličtina
http://linked.open.../riv/klicovaSlova	neural network, fractal geometry, prediction, solar activity, Elliott's wave, SOMA, DE, prediction, identification, evolution, migration, and self-organization (en)
http://linked.open.../riv/klicoveSlovo	SOMA evolution fractal geometry identification migration neural network prediction DE Elliott's wave solar activity and self-organization
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http://linked.open...vavai/riv/projekt	Algorithms and implementation of self-tuning MIMO controllers Adaptive and robust control on non-linear systems
http://linked.open...UplatneniVysledku	2001
http://linked.open...iv/tvurceVysledku	Zelinka, Ivan
http://linked.open...vavai/riv/typAkce	WRD - Světová
http://linked.open.../riv/zahajeniAkce	2001-11-08 (xsd:date)
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number of pages	20 (xsd:int)
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