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RCIN and OZwRCIN projects

Object

Title: Genetic algorithm and neural network methods for inverse problems of coupled models using topological derivative

Subtitle:

Raport Badawczy = Research Report ; RB/30/2017

Publisher:

Instytut Badań Systemowych. Polska Akademia Nauk ; Systems Research Institute. Polish Academy of Sciences

Place of publishing:

Warszawa

Description:

16 stron ; 21 cm ; Bibliografia s. 15-16

Abstract:

This article compares two methods based on genetic algorithm and neural network for finding the location of small holes in the domain, in which the coupled boundary value problem is defined. The initial domain consists of two components, linear and nonlinear, connected by the transmission conditions defined at the interface boundary. Both methods: genetic algorithm and neural network calculate the location of one, two or three holes located somewhere in the linear part of the domain based on imput data coming from the exterior part of the domain.

Relation:

Raport Badawczy = Research Report

Detailed Resource Type:

Raport

Resource Identifier:

oai:rcin.org.pl:144792

Source:

RB-2017-30

Language:

eng

Language of abstract:

eng

Rights:

Licencja Creative Commons Uznanie autorstwa 4.0

Terms of use:

Zasób chroniony prawem autorskim. [CC BY 4.0 Międzynarodowe] Korzystanie dozwolone zgodnie z licencją Creative Commons Uznanie autorstwa 4.0, której pełne postanowienia dostępne są pod adresem: ; -

Digitizing institution:

Instytut Badań Systemowych Polskiej Akademii Nauk

Original in:

Biblioteka Instytutu Badań Systemowych PAN

Projects co-financed by:

Program Operacyjny Polska Cyfrowa, lata 2014-2020, Działanie 2.3 : Cyfrowa dostępność i użyteczność sektora publicznego; środki z Europejskiego Funduszu Rozwoju Regionalnego oraz współfinansowania krajowego z budżetu państwa

Access:

Otwarty

Object collections:

Last modified:

Oct 19, 2021

In our library since:

Oct 28, 2020

Number of object content downloads / hits:

36

All available object's versions:

https://rcin.org.pl./publication/180385

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