Use of support vector machines, neural networks and genetic algorithms to characterize rubber blends...
Use of support vector machines, neural networks and genetic algorithms to characterize rubber blends by means of the classification of the carbon black particles used as reinforcing agent
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Publisher
Berlin/Heidelberg: Springer Berlin Heidelberg
Journal title
Language
English
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Publisher
Berlin/Heidelberg: Springer Berlin Heidelberg
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Scope and Contents
Contents
In carbon black reinforced rubbers, the shape of the carbon black aggregates has a very significant influence on the final properties of the material. Accurately classifying these particles by shape has proven to be difficult, but the results of the classification would allow to model the final mechanical properties of the material. In this work, 2...
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Full title
Use of support vector machines, neural networks and genetic algorithms to characterize rubber blends by means of the classification of the carbon black particles used as reinforcing agent
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TN_cdi_proquest_journals_2918030648
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2918030648
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ISSN
1432-7643
E-ISSN
1433-7479
DOI
10.1007/s00500-018-3262-2
