The Shortest Duration Constrained Hidden Markov Model: Data denoise and forecast optimization on the country-product matrix for the Fitness-Complexity Algorithm.
The Economic Fitness Index describes industrial completeness and comprehensively reflects product diversification with competitiveness and product complexity in production globalization. The Fitness-Complexity Algorithm offers a scientific approach to predicting GDP and obtains fruitful results. As...
Guardado en:
Autores principales: | Pengcheng Song, Xiangyu Zong, Ximing Chen, Qin Zhao, Lubingzhi Guo |
---|---|
Formato: | article |
Lenguaje: | EN |
Publicado: |
Public Library of Science (PLoS)
2021
|
Materias: | |
Acceso en línea: | https://doaj.org/article/26db7c23f98a41f79728a15e5dbe8197 |
Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
-
SPI-Based Hybrid Hidden Markov–GA, ARIMA–GA, and ARIMA–GA–ANN Models for Meteorological Drought Forecasting
por: Mohammed Alquraish, et al.
Publicado: (2021) -
Shortest Paths in Multiplex Networks
por: Saeed Ghariblou, et al.
Publicado: (2017) -
Investigation of denoising effects on forecasting models by statistical and nonlinear dynamic analysis
por: Farhang Rahmani, et al.
Publicado: (2021) -
Shortest Path from Bandar Tun Razak to Berjaya Times Square using Dijkstra Algorithm
Publicado: (2020) -
Three-Component Microseismic Data Denoising Based on Re-Constrain Variational Mode Decomposition
por: Zhili Chen, et al.
Publicado: (2021)