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Predictive data mining on rubber compound database

  • M. Trebar
  • U. Lotrič

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.

Keywords

Prediction Result Rubber Compound Torque Curve Train Test Predictive Data Mining 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag/Wien 2005

Authors and Affiliations

  • M. Trebar
    • 1
  • U. Lotrič
    • 1
  1. 1.Faculty of Computer and Information ScienceUniversity of LjubljanaSlovenia

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