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<rdf:RDF xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#" xmlns:dc="http://purl.org/dc/elements/1.1/"><rdf:Description rdf:about="https://dk.um.si/IzpisGradiva.php?id=27329"><dc:title>Genetic programming approach for the material flow curve determination of copper alloy - CuCrZr</dc:title><dc:creator>Gusel,	Leo	(Avtor)
	</dc:creator><dc:creator>Brezočnik,	Miran	(Avtor)
	</dc:creator><dc:creator>Rudolf,	Rebeka	(Avtor)
	</dc:creator><dc:creator>Anžel,	Ivan	(Avtor)
	</dc:creator><dc:creator>Lazarević,	Z.	(Avtor)
	</dc:creator><dc:creator>Romčević,	Nebojša	(Avtor)
	</dc:creator><dc:subject>forming</dc:subject><dc:subject>flow curve</dc:subject><dc:subject>copper alloys</dc:subject><dc:subject>genetic programming</dc:subject><dc:description>For the control of the forming process it is necessary to know as precisely as possible the flow curve of the formed material. The paper presents the determination of the equation for the flow curve of cooper alloy (CuCrZr) with artificial intelligence approach. The genetic programming method (GP) was used. It is an evolutionary optimization technique based on the Darwinist principles of the evolution of species and the survival of the fittest organisms. The main characteristic of GP is its non- deterministic way of computing. It is probably the most general approach out of evolutionary computation methods. The comparison between the experimental results, analytical solution and the solution obtained genetically clearly shows that the genetic programming method is a very promising approach.</dc:description><dc:date>2010</dc:date><dc:date>2012-06-01 10:38:35</dc:date><dc:type>Neznano</dc:type><dc:identifier>27329</dc:identifier><dc:language>sl</dc:language></rdf:Description></rdf:RDF>
