多愁善感
发表于 2025-3-21 18:14:52
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NATTY
发表于 2025-3-21 20:53:37
,ABC der Steuervorteile für Beamte,ce the interpretability of modelling results. The discrete-time grey exogenous model unifies univariate, multivariate, and multi-output discrete-time grey forecasting models, which helps to further improve the theoretical framework of grey forecasting models.
FICE
发表于 2025-3-22 01:34:45
Continuous-Time Grey Endogenous Models,s, based on its unique modeling paradigm, resulting in a series of research achievements in model optimization and improvement. In summary, the existing types and complex structures of continuous grey forecasting models have limited their theoretical research and practical applications.
Femish
发表于 2025-3-22 06:51:14
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Ganglion-Cyst
发表于 2025-3-22 10:14:07
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left-ventricle
发表于 2025-3-22 15:03:43
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left-ventricle
发表于 2025-3-22 21:01:48
Steuervorteile für Angestellte und Arbeitereses or judgments. In recent decades, system forecasting developed fast dramatically. Forecasting-based data mining techniques have become a hot topic and more popular in solving practical applications. It benefits from both the promotion of big data analysis and better usage of forecasting modelling.
Hot-Flash
发表于 2025-3-23 00:40:47
ABC der Steuervorteile für Beamtec systems affected by exogenous variables. We will focus on investigating continuous-time grey exogenous models, using the GM(1, N) model and multi-input and output MGM(1, N) model as typical examples.
gangrene
发表于 2025-3-23 02:00:34
https://doi.org/10.1007/978-3-663-13008-6ey 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.
BRIBE
发表于 2025-3-23 08:40:43
https://doi.org/10.1007/978-3-663-04265-5 a Cusum series-orientated modelling paradigm. Furthermore, by introducing an integral operator, the unified model is reduced to an equivalent integro-differential equation which provides a direct modelling paradigm.