TBU Publications
Repository of TBU Publications

Prediction of grinding parameters for plastics by artificial neural networks

DSpace Repository

Title: Prediction of grinding parameters for plastics by artificial neural networks
Author: Sámek, David; Bílek, Ondřej; Černý, Jakub
Document type: Peer-reviewed article (English)
Source document: International Journal of Mechanics. 2011, vol. 5, issue 3, p. 250-261
ISSN: 1998-4448 (Sherpa/RoMEO, JCR)
Journal Impact This chart shows the development of journal-level impact metrics in time
JCR Journal Citation Reports - Impact Factor
SNIP SCImago Source Normalized Impact per Paper
SJR SCImago Journal Rank
IPP SCImago Impact per Publication
CS Scopus CiteScore
(Note: The metrics are not comparable against one another.)
Full text: http://www.naun.org/multimedia/NAUN/mechanics/20-866.pdf
Show full item record

Export to RefWorks
   


Files in this item

Icon
Name: Fulltext_1002299.pdf
Size: 486.1Kb
Format: PDF
Description: fulltext

ČSN ISO 690:2011 citation

Citace článku v časopise:
SÁMEK, David, Ondřej BÍLEK a Jakub ČERNÝ. Prediction of grinding parameters for plastics by artificial neural networks. International Journal of Mechanics [online]. 2011, vol. 5, iss. 3, s. 250-261. [cit. 2026-09-19]. ISSN 1998-4448. Dostupné z: http://www.naun.org/multimedia/NAUN/mechanics/20-866.pdf.

These citations are software generated and may contain errors. To verify accuracy, check the appropriate style guide.

Related articles