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Discrete-Time Grey Endogenous Models,ey systems. Subsequently, some scholars have proposed discrete-time grey endogenous forecasting model models suitable for different time series characteristics, yielding a series of outstanding theoretical and applied achievements.

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Introduction, and present development patterns of existing or proposed systems. Generally, it needs to apply scientific methods and means to form scientific hypotheses or judgments. In recent decades, system forecasting developed fast dramatically. Forecasting-based data mining techniques have become a hot topic

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Nonlinear Grey Forecasting Models,ble attention in the grey forecasting community. Up to now, most research has focused on improving the classical models and developing novel forms, which enrich nonlinear grey forecasting model families. The existing different model forms of nonlinear grey forecasting models make it difficult for re

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