VSE knjižnice (vzajemna bibliografsko-kataložna baza podatkov COBIB.SI)
  • Prediction of surface roughness with genetic programming
    Brezočnik, Miran ; Kovačič, Miha, 1974- ; Ficko, Mirko
    In this paper we propose genetic programming to predict surface roughness in end-milling. Two independent data sets were obtained on the basis of measurement: training data set and testing data set. ... Spindle speed, feed rate,depth of cut, and vibrations are used as independent input variables (parameters), while surface roughness as dependent output variable. On the basis of training data set, different models for surface roughness were developed by genetic programming. Accuracy of the best model was proved with the testing data. It was established that the surface roughness is most influenced by the feed rate, whereas the vibrations increase the prediction accuracy.
    Vir: Journal of materials processing technology. - ISSN 0924-0136 (Vol. 157/158, 20. dec. 2004, str. 28-36)
    Vrsta gradiva - članek, sestavni del
    Leto - 2004
    Jezik - angleški
    COBISS.SI-ID - 9026582

    Povezava(-e):

    http://dx.doi.org/10.1016/j.jmatprotec.2004.09.004
    Digitalna knjižnica Univerze v Mariboru – DKUM

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