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Работы, на которые ссылается эта работа

Работ: 10

Работа: IMPROVING THE INTENSITY OF THE STEELMAKING TECHNOLOGICAL PROCESS BASED ON FUZZY LOGIC

  1. Forecasting electricity consumption by LSTM neural network

    V. Ya. Ushakov, Ikromjon U. Rakhmonov, Numon N. Niyozov +1

    СтатьяEnergy Load and Power ForecastingBulletin of the Tomsk Polytechnic University Geo Assets Engineering2023Цитирований: 24
    ABI

  2. Mathematical modeling of minimization of electricity consumption by industrial enterprises with continuous production

    Ikromjon U. Rakhmonov, V. Ya. Ushakov, Aysulu M. Najimova +2

    СтатьяDiverse Industrial Engineering TechnologiesBulletin of the Tomsk Polytechnic University Geo Assets Engineering2024Цитирований: 10
    ABI

  3. The comparative analysis of electrode control systems of electric arc furnaces and ladle furnaces

    А. А. Николаев, P. G. Tulupov, G. V. Astashova

    Статья2016Цитирований: 3
    ABI

  4. Back-propagation fuzzy system as nonlinear dynamic system identifiers

    L.-X. Wang, Jerry M. Mendel

    Статья2003Цитирований: 2
    ABI

  5. Electric arc current control for an electric arc furnace based on fuzzy logic

    Loredana Ghiormez, Octavian Proștean

    Статья2015Цитирований: 2
    ABI

  6. Curve-fitting-based method for modeling voltage–current characteristic of an ac electric arc furnace

    Yu‐Jen Liu, G. W. Chang, Rong-Chin Hong

    Статья2009Цитирований: 2
    ABI

  7. The Electrodes Positioning Control System for the Electric Arc Furnace Basing on Fuzzy Logic

    Yaroslav Paranchuk, Y. V. Shabatura, Oleksiy Kuznyetsov

    Статья2021Цитирований: 2
    ABI

  8. Modelling and Control of Electrode System for an Electric Arc Furnace

    Статья2014Цитирований: 2
    ABI

  9. Без названия

    ДругоеЦитирований: 1
    ABI

  10. Без названия

    ДругоеЦитирований: 1
    ABI