Training sample dimensions impact on artificial neural network optimal structure

Vadim Z. Manusov, Ilya S. Makarov, Stepan A. Dmitriev, Stanislav A. Eroshenko

Результат исследований: Глава в книге, отчете, сборнике статей › Материалы конференции › Научно-исследовательская › рецензирование

1 цитирование (Scopus)
Язык оригиналаАнглийский
Название основной публикации12th International Conference on Environment and Electrical Engineering, EEEIC 2013
Страницы156-159
Число страниц4
DOI
СостояниеОпубликовано - 2013
Событие12th International Conference on Environment and Electrical Engineering, EEEIC 2013 - Wroclaw, Польша
Продолжительность: 5 мая 2013 → 8 мая 2013

Конференция

Конференция12th International Conference on Environment and Electrical Engineering, EEEIC 2013
СтранаПольша
ГородWroclaw
Период05/05/2013 → 08/05/2013

Отпечаток

Electric load forecasting
Neural networks
Network architecture

Ключевые слова

    Предметные области ASJC Scopus

    • Electrical and Electronic Engineering
    • Environmental Engineering

    Цитировать

    Manusov, V. Z., Makarov, I. S., Dmitriev, S. A., & Eroshenko, S. A. (2013). Training sample dimensions impact on artificial neural network optimal structure. В 12th International Conference on Environment and Electrical Engineering, EEEIC 2013 (стр. 156-159). [6549608] https://doi.org/10.1109/EEEIC.2013.6549608
    Manusov, Vadim Z. ; Makarov, Ilya S. ; Dmitriev, Stepan A. ; Eroshenko, Stanislav A. / Training sample dimensions impact on artificial neural network optimal structure. 12th International Conference on Environment and Electrical Engineering, EEEIC 2013. 2013. стр. 156-159
    @inproceedings{fc7a26b350e642439ebbf1c77d25be17,
    title = "Training sample dimensions impact on artificial neural network optimal structure",
    keywords = "artificial neural network, forecasting, neural network training",
    author = "Manusov, {Vadim Z.} and Makarov, {Ilya S.} and Dmitriev, {Stepan A.} and Eroshenko, {Stanislav A.}",
    year = "2013",
    doi = "10.1109/EEEIC.2013.6549608",
    language = "English",
    isbn = "9781467330589",
    pages = "156--159",
    booktitle = "12th International Conference on Environment and Electrical Engineering, EEEIC 2013",

    }

    Manusov, VZ, Makarov, IS, Dmitriev, SA & Eroshenko, SA 2013, Training sample dimensions impact on artificial neural network optimal structure. в 12th International Conference on Environment and Electrical Engineering, EEEIC 2013., 6549608, стр. 156-159, 12th International Conference on Environment and Electrical Engineering, EEEIC 2013, Wroclaw, Польша, 05/05/2013. https://doi.org/10.1109/EEEIC.2013.6549608

    Training sample dimensions impact on artificial neural network optimal structure. / Manusov, Vadim Z.; Makarov, Ilya S.; Dmitriev, Stepan A.; Eroshenko, Stanislav A.

    12th International Conference on Environment and Electrical Engineering, EEEIC 2013. 2013. стр. 156-159 6549608.

    Результат исследований: Глава в книге, отчете, сборнике статей › Материалы конференции › Научно-исследовательская › рецензирование

    TY - GEN

    T1 - Training sample dimensions impact on artificial neural network optimal structure

    AU - Manusov, Vadim Z.

    AU - Makarov, Ilya S.

    AU - Dmitriev, Stepan A.

    AU - Eroshenko, Stanislav A.

    PY - 2013

    Y1 - 2013

    KW - artificial neural network

    KW - forecasting

    KW - neural network training

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    U2 - 10.1109/EEEIC.2013.6549608

    DO - 10.1109/EEEIC.2013.6549608

    M3 - Conference contribution

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    SP - 156

    EP - 159

    BT - 12th International Conference on Environment and Electrical Engineering, EEEIC 2013

    ER -

    Manusov VZ, Makarov IS, Dmitriev SA, Eroshenko SA. Training sample dimensions impact on artificial neural network optimal structure. В 12th International Conference on Environment and Electrical Engineering, EEEIC 2013. 2013. стр. 156-159. 6549608 https://doi.org/10.1109/EEEIC.2013.6549608

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