The Optimized Multivariate Grey Prediction Model Based on Dynamic Background Value and Its Application
As a tool for analyzing time series, grey prediction models have been widely used in various fields of society due to their higher prediction accuracy and the advantages of small sample modeling. The basic GM (1, N) model is the most popular and important grey model, in which the first “1” stands fo...
Saved in:
Main Authors: | Tongfei Lao, Xiaoting Chen, Jianian Zhu |
---|---|
Format: | Article |
Language: | English |
Published: |
Wiley
2021-01-01
|
Series: | Complexity |
Online Access: | http://dx.doi.org/10.1155/2021/6663773 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
A New Multivariable Grey Convolution Model Based on Simpson’s Rule and Its Applications
by: Song Ding, et al.
Published: (2020-01-01) -
An Improved Grey Model with Time Power and Its Application
by: Jianming Jiang, et al.
Published: (2022-01-01) -
Parameter Optimization on the Three-Parameter Whitenization Grey Model and Its Application in Simulation and Prediction of Gross Enrollment Rate of Higher Education in China
by: Jihong Sun, et al.
Published: (2020-01-01) -
The Axiomatic Characterization of the Grey Shapley Value
by: Mehmet Gençtürk, et al.
Published: (2025-01-01) -
An Improved Nonhomogeneous Grey Model with Fractional-Order Accumulation and Its Application
by: Shuanghua Liu, et al.
Published: (2021-01-01)