Akademska digitalna zbirka SLovenije - logo
VSE knjižnice (vzajemna bibliografsko-kataložna baza podatkov COBIB.SI)
  • Technological information extraction of free form surfaces using neural networks
    Korošec, Marjan, 1961-, strojnik
    The aim of this paper is to show how to predict the accurate machining technology for the particular free form NURBS or B-spline surface. Since that kind of a surface is very hard to describe in an ... analytical manner, the topological and geometrical information about the surface was acquired with the help of self-organized neural networks (NNs) and first- or second-order statistic parameters. It is proved that the most significant parameter in thisprocess is the curvature, especially when rapid changes of curvature on a free form surface occurred. As the Gaussian distribution of surface curvaturesand slope gradient data were presumed, the mean and variance was used for one-dimensional data presentation, and the Hebbian output data vectorwas used to assess probability, density function and distribution of thepresented data. For collecting the maximum amount of surface information, the principal component analysis method inside the Hebbian NN was used.
    Vir: Neural computing & applications. - ISSN 0941-0643 (Letn. 16, št. 4/5, 2007, str. 453-463)
    Vrsta gradiva - e-članek ; neleposlovje za odrasle
    Leto - 2007
    Jezik - angleški
    COBISS.SI-ID - 9749275

    Povezava(-e):

    http://dx.doi.org/10.1007/s00521-006-0071-9

vir: Neural computing & applications. - ISSN 0941-0643 (Letn. 16, št. 4/5, 2007, str. 453-463)
loading ...
loading ...
loading ...

Vnos na polico