Genetic based approach to predict surface roughness
Created by W.Langdon from
gp-bibliography.bib Revision:1.8098
- @InProceedings{Brezocnik:2004:TMT,
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author = "Miran Brezocnik and Mirko Ficko and Miha Kovacic",
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title = "Genetic based approach to predict surface roughness",
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booktitle = "8th International Research/Expert Conference Trends in
the Development Machinery and Associated Technology",
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year = "2004",
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pages = "91--94",
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address = "Neum, Bosnia and Herzegovina",
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month = "15-19 " # sep,
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keywords = "genetic algorithms, genetic programming, celno
frezanje, povrsinska hrapavost, napoved hrapavosti,
genetsko programiranje, end milling, surface roughness,
prediction of surface roughness",
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ISBN = "9958-617-21-8",
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URL = "http://cobiss.izum.si/scripts/cobiss?command=DISPLAY&base=COBIB&RID=9009686",
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URL = "https://plus.cobiss.si/opac7/bib/9009686",
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abstract = "In this paper we propose genetic programming to
predict surface roughness in end milling. Two
independent data sets were obtained from measurements:
the training data set and the testing data set. Spindle
speed, feed rate, depth of cut and vibrations were used
as independent input variables (parameters), while
surface roughness was the output variable. Different
surface roughness models were obtained with the
training data set and genetic programming. The testing
data set was used to prove the accuracy of the best
model. The conclusion is that surface roughness is most
influenced by the feed rate, while vibrations increase
the prediction accuracy.",
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jaezik = "angleski",
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notes = "Paper number TMT04-237
http://www.mf.unze.ba/tmt2004/submittedabstracts2.htm
(broken) COBISS.SI-ID: 9009686",
- }
Genetic Programming entries for
Miran Brezocnik
Mirko Ficko
Miha Kovacic
Citations