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  • Prediction of the hot formability using CAE-neural network-like system = Napovedovanje tople preoblikovalnosti z uporabo CAE-nevronskih mrež
    Turk, Radomir ; Peruš, Iztok ; Nardin, Vladimir
    Application of an intelligent, neural-like system for modelling the physical phenomena in material science is presented. After a brief introduction and description of the modelling the physical ... phenomena, the theoretical background, which stems from the probabilistic approach, is presented. This is followed by the presentation of two typical applications: (1) mathematical description of yield stress curves, and (2) prediction of the plasticity limit. The obtained results show that the method, presented in the paper, is a powerful tool, and it can be applied directly to the other problems in material science (e. g. materials testing support, mathematical simulation of materials forming process).
    Vir: RMZ - Materials and geoenvironment : periodical for mining, metallurgy and geology = RMZ - Materiali in geookolje : revija za rudarstvo, metalurgijo in geologijo. - ISSN 1408-7073 (Letn. 47, št. 3/4, dec. 2000, str. 395-405)
    Vrsta gradiva - članek, sestavni del
    Leto - 2000
    Jezik - angleški
    COBISS.SI-ID - 224351

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