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    On the introduction of a qualitative variable to the neural network for reactor modeling: Feed type

    , Article Industrial and Engineering Chemistry Research ; Volume 48, Issue 8 , 2009 , Pages 3820-3824 ; 08885885 (ISSN) Ghadrdan, M ; Mehdizadeh, H ; Bozorgmehry Boozarjomehry, R ; Towfighi Darian, J ; Sharif University of Technology
    Thermal cracking of hydrocarbons converts them into valuable materials in the petrochemical industries. Multiplicity of the reaction routes and complexity of the mathematical approach has led us use a kind of black-box modelingsartificial neural networks. Reactor feed type plays an essential role on the product qualities. Feed type is a qualitative character. In this paper, a method is presented to introduce a range of petroleum fractions to the neural network. To introduce petroleum cuts with final boiling points of 865 °F maximum to the neural network, a real component substitute mixture is made from the original mixture. Such substitute mixture is fully defined, it has a chemical...