Drafting Force Forecasting Using Genetic Programming
Created by W.Langdon from
gp-bibliography.bib Revision:1.7954
- @Article{nibikora2011,
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author = "Ildephonse Nibikora and Jun Wang3",
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title = "Drafting Force Forecasting Using Genetic Programming",
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journal = "Advanced Materials Research",
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year = "2011",
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month = "2",
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volume = "175",
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pages = "355--359",
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keywords = "genetic algorithms, genetic programming, drafting
force, drawing frame, drafting process parameters",
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ISSN = "1662-8985",
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publisher = "Trans Tech Publications",
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URL = "http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.1002.5139",
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URL = "http://www.scientific.net/AMR.175-176.355.pdf",
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DOI = "doi:10.4028/www.scientific.net/AMR.175-176.355",
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size = "5 pages",
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abstract = "Genetic programming was used to find out a
mathematical model for drafting force from drafting
process parameters on the drawing frame, which fits the
experimental data as much as possible. The study used
rayon fibers as the raw material in the mini-draw
frame. The process parameters on the draw frame such as
front roller speed, front roller draft, back roller
speed and back roller draft as variables were
investigated. The paper used the principle that there
is linear relationship between drafting force and
deformation from the strain gauges in the sensor. The
data obtained from online measurement device was used
for training and testing on the genetic programming. A
comparison between experimental and predicted data was
done. The results show very good agreement between the
experimental and predicted values. Furthermore, this
article shows that genetic programming can provide
further use for setting up the machine process
parameters without requiring an expert in the field.",
- }
Genetic Programming entries for
Ildephonse Nibikora
Jun Wang3
Citations