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Application of neural networks in prediction of tensile strength of absorbable sutures

Karpiński R., Gajewski J., Szabelski J., Barta D.

Applied Computer Science

2017

Vol. 13, no 4

76--86

The paper presents results of research on neural network application in fore-casting 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 neu-ral 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.