A Neutrosophic Forecasting Model for Time Series Based on First-Order State and Information Entropy of High-Order Fluctuation

In time series forecasting, information presentation directly affects prediction efficiency. Most existing time series forecasting models follow logical rules according to the relationships between neighboring states, without considering the inconsistency of fluctuations for a related period. In thi...

Descripción completa

Detalles Bibliográficos
Autores principales: Guan, Hongjun, Dai, Zongli, Guan, Shuang, Zhao, Aiwu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2019
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7514944/
https://www.ncbi.nlm.nih.gov/pubmed/33267169
http://dx.doi.org/10.3390/e21050455

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7514944/
https://www.ncbi.nlm.nih.gov/pubmed/33267169
http://dx.doi.org/10.3390/e21050455

Ejemplares similares