Fractional-Order Grey Prediction Method for Non-Equidistant Sequences
There are lots of non-equidistant sequences in actual applications due to random sampling, imperfect sensors, event-triggered phenomena, and so on. A new grey prediction method for non-equidistant sequences (r-NGM(1,1)) is proposed based on the basic grey model and the developed fractional-order non...
Main Authors: | Yue Shen, Bo He, Ping Qin |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2016-06-01
|
Series: | Entropy |
Subjects: | |
Online Access: | http://www.mdpi.com/1099-4300/18/6/227 |
Similar Items
-
A Novel Fractional-Order Grey Prediction Model and Its Modeling Error Analysis
by: Wei Meng, et al.
Published: (2019-05-01) -
Non-equidistant Multi-point Deformation Prediction Model and Its Application
by: YIN Hui, et al.
Published: (2016-10-01) -
A Predictive Analysis of China’s CO2 Emissions and OFDI with a Nonlinear Fractional-Order Grey Multivariable Model
by: Hang Jiang, et al.
Published: (2020-05-01) -
Prediction and Optimization of Electrospun Polyacrylonitrile Fiber Diameter Based on Grey System Theory
by: Qihong Zhou, et al.
Published: (2019-07-01) -
Null parallel p-equidistant b-scrolls
by: Ayşe Zeynep Azak, et al.
Published: (2014-09-01)