Grey prediction method
WebThe method used for prediction can be a black box model (e.g., regression analysis) or grey box model (e.g., grey system model (GSM)). Data analysis can avoid the assumptions in a physical model. However, the prediction results are easily affected by misleading monitoring data and the predicted series might deviate from physical behavior. WebIn this paper, through the construction of an evaluation indicator system of China’s forest carbon sink efficiency, DEA was used to portray China’s forest carbon sink efficiency, and a gray prediction model was used to estimate the change in the input indicator when China reaches peak carbon; finally, the inverse DEA model was used to study ...
Grey prediction method
Did you know?
WebJan 6, 2024 · The grey prediction model, as a time-series analysis tool, has been used in various fields only with partly known distribution information. The grey polynomial model is a novel method to solve the ... WebThus, almost all models are grey box models as opposed to black box where no model form is assumed or white box models that are purely theoretical. Some models assume a …
WebMar 24, 2024 · The proposed method needs only four elements for predicting the future elements of time series. • The paper proposes a second order polynomial for approximating 1-AGO. • The method makes more accurate prediction than existed methods. • The proposed method is applied on various practical forecasting problems successfully. WebThe grey prediction sequence is input into the neural network to improve the prediction effect. The proposed prediction model can solve the problem of analyzing small sample data of the inertial platform drift rate, which fits nonlinear drift rate series. ... Liman Yang, and Chenggang Bai. 2024. "A Performance Prediction Method Based on Sliding ...
WebThe grey system theory is an interdisciplinary theory proposed by Deng (1982) and the grey prediction method applies well to small size data forecasting. As an important part of grey prediction theory, the GM (1, N) model is the basic model of multivariable grey system modeling approach. WebJan 1, 2012 · Based on Fuzzy Clustering and Grey target theory prediction model In this paper, prediction model is applied to Load Forecasting which combined the fuzzy clustering with the target theory. Because value of load is affected by many factors and some correlation is existing. All affecting factors are classified by fuzzy cluster analysis.
WebApr 7, 2024 · Water consumption has a typical characteristic sequence of randomness, fluctuation, and discreteness. A grey power model [GPM (1, 1) model] is a good prediction method for predicting urban water ...
WebMar 1, 2024 · Inspired by the EGM (1,1), this article proposes a novel metaheuristic, named the grey prediction evolution algorithm based on the EGM (1,1) (GPEA (1,1)). The core … thick puffer hooded jacketsWebJan 15, 2024 · The multivariate grey model is an essential type of the prediction method compared with neural networks and other prediction methods. The multivariate grey model has low complexity in the calculation and stable predicted results; thus, it can be applied to engineering practice. According to condition 2, a new combined method with relative low ... thick pullover fleece lined coatsWebJan 31, 2024 · GM(1,1) is a univariate grey prediction model with incomplete structural information, in which the real number form of the simulation or prediction data does not conform to the Nonuniqueness ... thick puffer coat womenWebThe grey prediction method is one of the most popular and effective models to deal with time series prediction. It has been widely employed in many application areas and has … sailing peter heatonWebAug 19, 2024 · At present, the main content includes grey correlation analysis, grey model (GM) and grey prediction model. It is a technical system with system analysis, … thick puffer jacketthick puffer jacket brandsWebAug 30, 2024 · To address the above problems, this paper proposed a weak buffered gray prediction method based on the optimal correction factor, aiming to improve the traffic prediction accuracy. In the design of prediction method, firstly, the exponential weakening buffer operator is used to smooth the impact disturbance of the system, and then the ... thick puffer jackets for men