Taxonomy of Nature Inspired Computational Intelligence: A Remote Sensing Perspective

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27740%2F12%3A86084783" target="_blank" >RIV/61989100:27740/12:86084783 - isvavai.cz</a>

Výsledek na webu

<a href="http://dx.doi.org/10.1109/NaBIC.2012.6402262" target="_blank" >http://dx.doi.org/10.1109/NaBIC.2012.6402262</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1109/NaBIC.2012.6402262" target="_blank" >10.1109/NaBIC.2012.6402262</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Taxonomy of Nature Inspired Computational Intelligence: A Remote Sensing Perspective

Popis výsledku v původním jazyce

The concepts in geospatial sciences are generally vague, ambiguous and imprecise. Also, a combination of spectral, spatial and radiometric resolution of space-borne sensors presents a selective and incomplete look of the geospatial feature/object under its view from the space. Recently, the nature inspired computational intelligence (CI) techniques have emerged as an efficient mechanism to handle diverse uncertainty characteristics. This paper proposes that the human-mind model based computational intelligence techniques, the artificial immune system based computational intelligence techniques; the swarm intelligence based computational intelligence techniques and the emerging geo-sciences based intelligent techniques can be considered as the four pillars of nature inspired CI techniques and hence redefines and extends the taxonomy of nature inspired CI. Researchers have shown keen interest on the applications of natural computing in divergent domains. Scanty references are available o

Název v anglickém jazyce

Taxonomy of Nature Inspired Computational Intelligence: A Remote Sensing Perspective

Popis výsledku anglicky

The concepts in geospatial sciences are generally vague, ambiguous and imprecise. Also, a combination of spectral, spatial and radiometric resolution of space-borne sensors presents a selective and incomplete look of the geospatial feature/object under its view from the space. Recently, the nature inspired computational intelligence (CI) techniques have emerged as an efficient mechanism to handle diverse uncertainty characteristics. This paper proposes that the human-mind model based computational intelligence techniques, the artificial immune system based computational intelligence techniques; the swarm intelligence based computational intelligence techniques and the emerging geo-sciences based intelligent techniques can be considered as the four pillars of nature inspired CI techniques and hence redefines and extends the taxonomy of nature inspired CI. Researchers have shown keen interest on the applications of natural computing in divergent domains. Scanty references are available o

Druh

D - Stať ve sborníku

CEP obor

IN - Informatika

OECD FORD obor

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Projekt

<a href="/cs/project/ED1.1.00%2F02.0070" target="_blank" >ED1.1.00/02.0070: Centrum excelence IT4Innovations</a><br>

Návaznosti

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

Rok uplatnění

2012

Kód důvěrnosti údajů

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

Název statě ve sborníku

Proceedings of the 2012 4th World Congress on Nature and Biologically Inspired Computing, NaBIC 2012

ISBN

978-1-4673-4768-6

ISSN

—

e-ISSN

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Počet stran výsledku

7

Strana od-do

200-206

Název nakladatele

IEEE

Místo vydání

New York

Místo konání akce

Mexico City

Datum konání akce

5. 11. 2012

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

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