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Naslov:Yield strength modelling of formed material using evolutionary computational method
Avtorji:Gusel, Leo (Avtor)
Rudolf, Rebeka (Avtor)
Datoteke:URL http://www.metalurgija.org.rs/mjom/vol15/No%201/3_Gusel_MJoM_1501.pdf
 
Jezik:Angleški jezik
Vrsta gradiva:Neznano ()
Tipologija:1.01 - Izvirni znanstveni članek
Organizacija:FS - Fakulteta za strojništvo
Opis:In this paper we propose an evolutionary computation approach for the modelling of yield strength in formed material. One of the most general evolutionary computation methods is genetic programming, which was used in our research. Genetic programming is an automated method for creating a working computer program from a problemćs high-level statement. Genetic programming does this by genetically breeding a population of computer programs using the principles of Darwinianćs natural selection and biologically inspired operations. During our research, material was cold formed by drawing using different process parameters and then determining yield strengths (dependent variable) of the specimens. On the basis of a training data set, various different genetic models for yield strength distribution were developed during simulated evolution. The accuracies of the best models were proved by a testing data set and comparing between the genetic and regression models. The research showed that very accurate genetic models can be developed by the proposed approach.
Ključne besede:metal forming, yield strength, genetic programming, modelling
Leto izida:2009
UDK:620.1
COBISS_ID:13042966 Povezava se odpre v novem oknu
ISSN pri članku:0354-6306
NUK URN:URN:SI:UM:DK:0LOFVKMV
Število ogledov:1276
Število prenosov:23
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Gradivo je del revije

Naslov:Metalurgija
Skrajšan naslov:Metalurgija
Založnik:Savez inženjera metalurgije Jugoslavije
ISSN:0354-6306
COBISS.SI-ID:62378 Novo okno

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