دانلود مقاله انگلیسی رایگان:Data-based structure selection for unified discrete grey prediction model - 2019
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  • Data-based structure selection for unified discrete grey prediction model Data-based structure selection for unified discrete grey prediction model
    Data-based structure selection for unified discrete grey prediction model

    سال انتشار:

    2019


    عنوان انگلیسی مقاله:

    Data-based structure selection for unified discrete grey prediction model


    ترجمه فارسی عنوان مقاله:

    Data-based structure selection for unified discrete grey prediction model


    منبع:

    Sciencedirect - Elsevier - Expert Systems With Applications, 136 (2019) 264-275: doi:10:1016/j:eswa:2019:06:053


    نویسنده:

    Bao-lei Wei a , ∗, Nai-ming Xie a , Ying-jie Yang b


    چکیده انگلیسی:

    Grey models have been reported to be promising for time series prediction with small samples, but the diversity kinds of model structures and modelling assumptions restrains their further applications and developments. In this paper, a novel grey prediction model, named discrete grey polynomial model, is proposed to unify a family of univariate discrete grey models. The proposed model has the capacity to represent most popular homogeneous and non-homogeneous discrete grey models and furthermore, it can induce some other novel models, thereby highlighting the relationship between the models and their structures and assumptions. Based on the proposed model, a data-based algorithm is put forward to se- lect the model structure adaptively. It reduces the requirement for modeler’s knowledge from an expert system perspective. Two numerical experiments with large-scale simulations are conducted and the re- sults show its effectiveness. In the end, two real case tests show that the proposed model benefits from its adaptive structure and produces reliable multi-step ahead predictions.
    Keywords: Grey system theory | Discrete grey model | Structure selection | Matrix decomposition


    سطح: متوسط
    تعداد صفحات فایل pdf انگلیسی: 12
    حجم فایل: 783 کیلوبایت

    قیمت: رایگان


    توضیحات اضافی:




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