For the control of the forming process it is necessary
to know as precisely as possible the flow curve of the
material formed. The paper presents the determination
of the equation for the flow curve with the artificial
intelligence approach. The genetic programming method
(GP) was used. It is an evolutionary optimisation
technique based on the Darwinian natural selection and
the survival of the fittest organisms. The comparison
between the experimental results, the analytical
solution and the solution obtained genetically clearly
shows that the genetic programming method is a very
promising approach.
%0 Journal Article
%1 Brezocnik:2000:JTP
%A Brezocnik, Miran
%A Balic, Joze
%A Gusel, Leo
%D 2000
%J Journal for technology of plasticity
%K algorithms, artificial curve, flow forming, genetic intelligence programming,
%N 1-2
%P 1--7
%T Artificial intelligence approach to determination of
flow curve
%V 25
%X For the control of the forming process it is necessary
to know as precisely as possible the flow curve of the
material formed. The paper presents the determination
of the equation for the flow curve with the artificial
intelligence approach. The genetic programming method
(GP) was used. It is an evolutionary optimisation
technique based on the Darwinian natural selection and
the survival of the fittest organisms. The comparison
between the experimental results, the analytical
solution and the solution obtained genetically clearly
shows that the genetic programming method is a very
promising approach.
@article{Brezocnik:2000:JTP,
abstract = {For the control of the forming process it is necessary
to know as precisely as possible the flow curve of the
material formed. The paper presents the determination
of the equation for the flow curve with the artificial
intelligence approach. The genetic programming method
(GP) was used. It is an evolutionary optimisation
technique based on the Darwinian natural selection and
the survival of the fittest organisms. The comparison
between the experimental results, the analytical
solution and the solution obtained genetically clearly
shows that the genetic programming method is a very
promising approach.},
added-at = {2008-06-19T17:35:00.000+0200},
author = {Brezocnik, Miran and Balic, Joze and Gusel, Leo},
biburl = {https://www.bibsonomy.org/bibtex/22268cadfbadb904ffa8bdfc751f2f406/brazovayeye},
interhash = {c5b18ed9207948f57689816b1ff0a435},
intrahash = {2268cadfbadb904ffa8bdfc751f2f406},
issn = {0350-2368},
journal = {Journal for technology of plasticity},
keywords = {algorithms, artificial curve, flow forming, genetic intelligence programming,},
notes = {http://www.scindeks.nbs.bg.ac.yu/arhiva.php?issn=0350-2368&je=en},
number = {1-2},
pages = {1--7},
timestamp = {2008-06-19T17:36:57.000+0200},
title = {Artificial intelligence approach to determination of
flow curve},
volume = 25,
year = 2000
}