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  • Neural net based hybrid modeling of the methanol synthesis process
    Potočnik, Primož, 1969- ...
    A hybrid modeling approach, combining an analytical model with a radial basis function neural network is introduced in this paper. The modeling procedure is combined with genetic algorithm based ... feature selection designed to select informative variables from the set of available measurements. By only using informative inputs, the model's generalization ability can be enhanced. The approach proposed is applied to modeling of the liquid-phase methanol synthesis. It is shown that a hybrid modeling approach exploiting available a priori knowledge and experimental data can considerably outperform a purely analytical approach.
    Vir: Neural processing letters. - ISSN 1370-4621 (Vol. 11, no. 3, 2000, str. 219-228)
    Vrsta gradiva - članek, sestavni del
    Leto - 2000
    Jezik - angleški
    COBISS.SI-ID - 2174490

    Povezava(-e):

    http://dx.doi.org/10.1023/A:1009615710515

    Prosto dostopen samo abstrakt članka



vir: Neural processing letters. - ISSN 1370-4621 (Vol. 11, no. 3, 2000, str. 219-228)
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