A Forecasting Model Based on High-Order Fluctuation Trends and Information Entropy

Most existing high-order prediction models abstract logical rules that are based on historical discrete states without considering historical inconsistency and fluctuation trends. In fact, these two characteristics are important for describing historical fluctuations. This paper proposes a model bas...

Descripción completa

Detalles Bibliográficos
Autores principales: Guan, Hongjun, Dai, Zongli, Guan, Shuang, Zhao, Aiwu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2018
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7513192/
https://www.ncbi.nlm.nih.gov/pubmed/33265758
http://dx.doi.org/10.3390/e20090669

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7513192/
https://www.ncbi.nlm.nih.gov/pubmed/33265758
http://dx.doi.org/10.3390/e20090669

Ejemplares similares