PSO-Markov residual correction method based on Verhulst-Fourier prediction model
Macroeconomic predicting is a research hotspot in the field of predicting. The accuracy of predicting often directly affects the rationality of decision-making, especially for defense expenditure predicting. This paper studies the residual correction method of prediction model based on time series....
Main Authors: | Tong Niu, Lin Zhang, Bo Zhang, Bo Li, Baoshan Zhang, Wenfeng Wang |
---|---|
Format: | Article |
Language: | English |
Published: |
Taylor & Francis Group
2021-01-01
|
Series: | Systems Science & Control Engineering |
Subjects: | |
Online Access: | http://dx.doi.org/10.1080/21642583.2020.1863277 |
Similar Items
-
The Application of Fourier Residual Grey Verhulst and Grey Markov Model in Analyzing the Global ICT Development
by: Shaghayegh Kordnoori, et al.
Published: (2014-03-01) -
Study on a combined prediction method based on BP neural network and improved Verhulst model
by: Tong Niu, et al.
Published: (2019-12-01) -
A Note on a Characterization of Gompertz-Verhulst Distribution
by: M. Ahsanullah, et al.
Published: (2014-03-01) -
Prediction of the Number of Patients Infected with COVID-19 Based on Rolling Grey Verhulst Models
by: Yu-Feng Zhao, et al.
Published: (2020-06-01) -
Die helaasheid van die dinge (Dimitri Verhulst)
by: Marike van der Watt
Published: (2019-06-01)