Abstract
Neural network based predictive data mining techniques are used to find relationships between rubber compound parameters obtained by rheological and mechanical tests. The preprocessing methods appropriate to the problem are also introduced. Good prediction of different rubber compound parameters evidently indicate that the majority of rubber compounds’ mechanical properties can be devised from the rheological measurements of cross-linking process.
The work is sponsored in part by Slovenian Ministry of Education, Science and Sport by grants V2-0886, L2-6460 and L2-6143.
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Trebar, M., Lotrič, U. (2005). Predictive data mining on rubber compound database. In: Ribeiro, B., Albrecht, R.F., Dobnikar, A., Pearson, D.W., Steele, N.C. (eds) Adaptive and Natural Computing Algorithms. Springer, Vienna. https://doi.org/10.1007/3-211-27389-1_26
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DOI: https://doi.org/10.1007/3-211-27389-1_26
Publisher Name: Springer, Vienna
Print ISBN: 978-3-211-24934-5
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