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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...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
MDPI
2018
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| Materias: | |
| 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 |