New Method of Sequences Spiral Hybrid Using Machine Learning Systems and Its Application to Engineering (CROSBI ID 663946)
Prilog sa skupa u časopisu | izvorni znanstveni rad | međunarodna recenzija
Podaci o odgovornosti
Babič, Matej ; Karabegović, Isak ; Martinčić- Ipšić, Sanda ; Varga, Gyula
engleski
New Method of Sequences Spiral Hybrid Using Machine Learning Systems and Its Application to Engineering
In an era of increased emphasis on sustainability and quality assurance, knowledge about metals and other materials used in products, manufacturing processes, and construction is invaluable. Metallurgy is the study of the physical and chemical behaviour of metallic elements. CNC operators typically test many materials with different CNC machine parameters to optimize the topological properties of materials. In this article we present a solution to this problems. We analyse SEM pictures of the microstructure of robot laser hardened specimens using graph theory and fractal geometry. Intelligent systems methods enable predictions for mechanical engineering based on a hybrid of genetic programming and multiple regression, with applications to metallurgy and mechanical engineering. Hybrid evolutionary computation is a generic, flexible, robust, and versatile method for solving complex global optimisation problems that can also be used in practical applications. Hybrid intelligent systems enhance laser hardening by decreasing the process time and increasing the topographical properties of materials.
Intelligent system ; Hybrid machine learning ; Laser Hardening ; Visibility graphs ; Fractal dimension ; Metallurgy
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Podaci o prilogu
227-237.
2018.
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objavljeno
Podaci o matičnoj publikaciji
Lecture notes in networks and systems
Karabegović, Isak
Sarajevo: Springer
978-3-319-90892-2
2367-3370
2367-3389
Podaci o skupu
4th International Conference "New Technologies and Applications" (NT-2018)
predavanje
28.06.2018-30.06.2018
Sarajevo, Bosna i Hercegovina