This item still needs to be validated !
ITEM METADATA RECORD
Title: Application of artificial neural networks for the prediction of the effects of batch variations on the properties of rubber mouldings
Authors: Haberstroh, Edmund ×
Koch, Marta
Wehr, H #
Issue Date: Jul-2001
Publisher: Dr alfred huthig verlag gmbh
Series Title: Kautschuk gummi kunststoffe vol:54 issue:7-8 pages:356-+
Abstract: In order to describe and predict the effect of the different process steps on the part quality, the comprehensive inspection of the whole rubber manufacturing process chain becomes necessary. For the description of the complex connections between the different process steps artificial neural networks and regression models are capable tools. In this paper the possibilities and limitations of artificial neural networks describing the effect of batch and storage variations on the properties of rubber mouldings compared to regression models are discussed.
URI: 
ISSN: 0022-9520
Publication status: published
KU Leuven publication type: IT
Appears in Collections:Department of Materials Engineering - miscellaneous
Molecular Genetics Section (-)
Laboratory of Neurogenetics
× corresponding author
# (joint) last author

Files in This Item:

There are no files associated with this item.

Request a copy

 




All items in Lirias are protected by copyright, with all rights reserved.

© Web of science