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Dive into the research topics where Zoran Jurković is active.

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Featured researches published by Zoran Jurković.


Journal of Intelligent Manufacturing | 2016

A comparison of machine learning methods for cutting parameters prediction in high speed turning process

Zoran Jurković; Goran Cukor; Miran Brezocnik; Tomislav Brajkovic

Support vector machines are arguably one of the most successful methods for data classification, but when using them in regression problems, literature suggests that their performance is no longer state-of-the-art. This paper compares performances of three machine learning methods for the prediction of independent output cutting parameters in a high speed turning process. Observed parameters were the surface roughness (Ra), cutting force


Tehnicki Vjesnik-technical Gazette | 2016

Optimization of machining parameters for turning operation with multiple quality characteristics using Grey relational analysis

Franko Puh; Zoran Jurković; Mladen Perinić; Miran Brezocnik; Stipo Buljan


International Conference “New Technologies, Development and Applications” | 2018

Cybernetization of Industrial Product-Service Systems in Network Environment

Elvis Hozdić; Zoran Jurković

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Advances in Production Engineering & Management | 2018

An experimental and modelling approach for improving utilization rate of the cold roll forming production line

Milan Jurković; Zoran Jurković; Stipo Buljan; Milenko Obad


Tehnicki Vjesnik-technical Gazette | 2017

Učinkoviti genetski algoritam za planiranje proizvodnje

Gordan Janes; Mladen Perinić; Zoran Jurković

(Fc), and tool lifetime (T). For the modelling, support vector regression (SVR), polynomial (quadratic) regression, and artificial neural network (ANN) were used. In this research, polynomial regression has outperformed SVR and ANN in the case of


Tehnicki Vjesnik-technical Gazette | 2015

An Investigation of the Force and Torque at Profile Sheet Metal Rolling – Input Data for the Production System Reengineering

Milan Jurkovic; Zoran Jurković; Milenko Obad; Stipo Buljan; Edin Mustafic


Tehnicki Vjesnik-technical Gazette | 2010

IMPROVING THE SURFACE ROUGHNESS AT LONGITUDINAL TURNING USING THE DIFFERENT OPTIMIZATION METHODS

Zoran Jurković; Goran Cukor; Imrich Andrejcak

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Metalurgija | 2011

Rotatable central composite design of experiments versus Taguchi method in the optimization of turning

Goran Cukor; Zoran Jurković; Milenko Sekulić


Advances in Production Engineering & Management | 2014

Particle swarm optimization approach for modelling a turning process

Marko Hrelja; Simon Klancnik; Tomaz Irgolic; Matej Paulic; Zoran Jurković; Joze Balic; Miran Brezocnik

Fc and Ra prediction, while ANN had the best performance in the case of T, but also the worst performance in the case of


Journal of achievements in materials and manufacturing engineering | 2006

Optimization of extrusion force prediction model using different techniques

Zoran Jurković; Milan Jurković; Stipo Buljan

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Vesna Mandić

University of Kragujevac

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Branko Grizelj

Josip Juraj Strossmayer University of Osijek

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