Andriy Trostianchyn

Work place: Lviv Polytechnic National University, Lviv, 70913, Ukraine



Research Interests: Computational Engineering, Computational Mathematics, Computer systems and computational processes, Computational Learning Theory


Andriy Trostianchyn graduated from Lviv Polytechnic National University in 1999 (MSc in Material Sciences). He got his Ph.D. in Material Sciences in 2005 in Karpenko physico-mechanical institute of the National Academy of Sciences of Ukraine. He is currently working as an Assistant in Department of Applied Materials Science and Materials Engineering, at Lviv Polytechnic National University, Lviv, Ukraine.

He has published more than 100 publications in national and international journals. His major research interests are Computational Intelligence and 3D printing technology for the production of aerospace equipment.

Author Articles
The Combined Use of the Wiener Polynomial and SVM for Material Classification Task in Medical Implants Production

By Ivan Izonin Andriy Trostianchyn Zoia Duriagina Roman Tkachenko Tetiana Tepla Nataliia Lotoshynska

DOI:, Pub. Date: 8 Sep. 2018

This document presents two developed methods for solving the classification task of medical implant materials based on the compatible use of the Wiener Polynomial and SVM. The high accuracy of the proposed methodology for solving this task are experimentally confirmed. A comparison of the proposed methods with existing ones: Logistic Regression; Linear SVC; Random Forest; SVC (linear kernel); SVC (RBF kernel); Random Forest + Wiener Polynomial is carried out. The duration of training of all methods that described in work is investigated. The article presents the visualization of all method results for solving this task.

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