Open AccessThe use of artificial neural networks for mathematical modeling of the effect of composition and production conditions on the properties of PVC floor coverings
Author(s) -
R. Radovanovic,
Mirjana Jovičić,
Oskar Bera,
Jelena Pavličević,
Branka Pilić,
Radmila Radičević
Publication year - 2017
Publication title -
hemijska industrija
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.147
H-Index - 19
eISSN - 2217-7426
pISSN - 0367-598X
DOI - 10.2298/hemind151015012r
Subject(s) - artificial neural network , composition (language) , biological system , variable (mathematics) , computer science , materials science , mathematics , artificial intelligence , mathematical analysis , philosophy , linguistics , biology
The application of PVC floor coverings is strongly connected with their end-use properties, which depend on the composition and processing conditions. It is very difficult to estimate the proper influence of the production parameters on the characteristics of PVC floor coverings due to their complex composition and various preparation procedures. The effect of different processing variables (such as time of bowling, temperature of bowling and composition of PVC plastisol) on the mechanical properties of PVC floor coverings was investigated. The influence of different input parameters on the mechanical properties was successfully determined using an artificial neural network with an optimized number of hidden neurons. The Garson and Yoon models were applied to calculate and describe the variable contributions in the artificial neural networks. [Projekat Ministarstva nauke Republike Srbije, br. III 45022