APPLICATION OF NEURAL NETWORKS IN PREDICTION OF TENSILE STRENGTH OF ABSORBABLE SUTURES
Robert KARPIŃSKI
r.karpinski@pollub.plLublin University of Technology, Faculty of Mechanical Engineering, Department of Machine Design and Mechatronics, Nadbystrzycka 36, 20-618 Lublin (Poland)
Jakub GAJEWSKI
Lublin University of Technology, Faculty of Mechanical Engineering, Department of Machine Design and Mechatronics, Nadbystrzycka 36, 20-618 Lublin, (Poland)
Jakub SZABELSKI
Lublin University of Technology, Faculty of Mechanical Engineering, Institute of Technological Systems of Information, Nadbystrzycka 36, 20-618 Lublin (Poland)
Dalibor BARTA
University of Zilina, Faculty of Mechanical Engineering, Univerzitna 1, 01026 Zilina (Slovakia)
Abstract
The paper presents results of research on neural network application in forecasting the tensile strength of two types of sutures. The preliminary research was conducted in order to establish the accuracy of the proposed method and will be used for formulating further research areas. The neural network enabled evaluation of suture material degradation after 3-to-6-days’ exposure to Ringer’s solution. The encountered problems regarding inaccuracies show that developing a single model for sutures may be difficult or impossible. Therefore future research should be conducted for a single type of sutures only and require applying additional parameters for the neural network.
Keywords:
neural network application, forecasting, sutures tensileReferences
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Authors
Robert KARPIŃSKIr.karpinski@pollub.pl
Lublin University of Technology, Faculty of Mechanical Engineering, Department of Machine Design and Mechatronics, Nadbystrzycka 36, 20-618 Lublin Poland
Authors
Jakub GAJEWSKILublin University of Technology, Faculty of Mechanical Engineering, Department of Machine Design and Mechatronics, Nadbystrzycka 36, 20-618 Lublin, Poland
Authors
Jakub SZABELSKILublin University of Technology, Faculty of Mechanical Engineering, Institute of Technological Systems of Information, Nadbystrzycka 36, 20-618 Lublin Poland
Authors
Dalibor BARTAUniversity of Zilina, Faculty of Mechanical Engineering, Univerzitna 1, 01026 Zilina Slovakia
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