An Analysis of Spatial Distribution of Complex Systems by Means of Neural Network

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F44555601%3A13430%2F00%3A00000546" target="_blank" >RIV/44555601:13430/00:00000546 - 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

An Analysis of Spatial Distribution of Complex Systems by Means of Neural Network

Popis výsledku v původním jazyce

There are many fields of science as thin solid physics, metallurgy, astronomy, biology, etc, where we study complex systems consisting of a large number of objects. In the process of an image analysis of such complex systems it is very importantto detectthe size and spatial distributions of objects. Standard methods based on the theory of mathematical morphology are often used for the description of spatial distribution of the objects. The sensitivity of these methods differs and has some limits. In this way it is necessary to create new approaches for the study of such image structures. This contribution presents a new approach to the description of a degree of composition based on the neural network.

Název v anglickém jazyce

An Analysis of Spatial Distribution of Complex Systems by Means of Neural Network

Popis výsledku anglicky

There are many fields of science as thin solid physics, metallurgy, astronomy, biology, etc, where we study complex systems consisting of a large number of objects. In the process of an image analysis of such complex systems it is very importantto detectthe size and spatial distributions of objects. Standard methods based on the theory of mathematical morphology are often used for the description of spatial distribution of the objects. The sensitivity of these methods differs and has some limits. In this way it is necessary to create new approaches for the study of such image structures. This contribution presents a new approach to the description of a degree of composition based on the neural network.

Druh

A - Audiovizuální tvorba

CEP obor

BM - Fyzika pevných látek a magnetismus

OECD FORD obor

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Projekt

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Návaznosti

Z - Vyzkumny zamer (s odkazem do CEZ)

Rok uplatnění

2000

Kód důvěrnosti údajů

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

ISBN

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Místo vydání

Paris

Název nakladatele resp. objednatele

Univ. PMC

Verze

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Identifikační číslo nosiče

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