Narodna in univerzitetna knjižnica, Ljubljana (NUK)
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Naročanje gradiva za izposojo v čitalnice
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  • Comparative modeling of wire electrical discharge machining (WEDM) process using back propagation (BPN) and general regression neural networks (GRNN) = Primerjalno modeliranje elektroerozijske žične obdelave (WEDM) z uporabo povratnosti (BPN) in spošne[!] nevronske regresijske mreže (GRNN)
    Guven, Onur ...
    The use of two neural networks techniques to model wire electrical discharge machining process (WEDM) is explored in this paper. Both the back-propagation (BPN) and General Regression Neural Networks ... (GRNN) are used to determine and compare the WEDM parameters with the features of the surface roughness. A comparison between the back-propagation and general regression neural networks in the modeling of the WEDM process is given. It is shown that both the back-propagation and general regression neural networks can model the WEDM process with reasonable accuracy. However, back propagation neural network has better learning ability for the wire electrical discharge machining process than the general regression neural network. Also, the back-propagation network has better generalization ability for the wire electrical discharge machining process than does the general regression neural network.
    Vir: Materiali in tehnologije = Materials and technology. - ISSN 1580-2949 (Letn. 44, št. 3, maj-jun. 2010, str. 147-152)
    Vrsta gradiva - članek, sestavni del ; neleposlovje za odrasle
    Leto - 2010
    Jezik - angleški
    COBISS.SI-ID - 816042

    Povezava(-e):

    Digitalna knjižnica Slovenije - dLib.si

vir: Materiali in tehnologije = Materials and technology. - ISSN 1580-2949 (Letn. 44, št. 3, maj-jun. 2010, str. 147-152)

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