Abstract
Artificial neural networks (ANN) have been used for characterization of rubber blend mixtures ageing and for prediction of mechanical properties according to chemical composition. Strength Rm and modulus M100 have been evaluated. The ANN application was tested by statistical function RMSE (root mean square error) and R2 (coefficient of determination) which value for all predictions was higher than 0.93.
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Acknowledgements
Selected work has been created with help of Slovakian grants VEGA1/0538/14, VEGA1/0213/15, ITMS 26210120024 and the Slovak Research and Development Agency under the contract No. APVV-14-0506 “ENPROMO”.
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Ružiak, I. et al. (2018). Artificial Neural Networks Prediction of Rubber Mechanical Properties in Aged and Nonaged State. In: Öchsner, A., Altenbach, H. (eds) Improved Performance of Materials. Advanced Structured Materials, vol 72. Springer, Cham. https://doi.org/10.1007/978-3-319-59590-0_3
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DOI: https://doi.org/10.1007/978-3-319-59590-0_3
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