Cargando…
A novel general-purpose hybrid model for time series forecasting
Realizing the accurate prediction of data flow is an important and challenging problem in industrial automation. However, due to the diversity of data types, it is difficult for traditional time series prediction models to have good prediction effects on different types of data. To improve the versa...
Autores principales: | Yang, Yun, Fan, ChongJun, Xiong, HongLin |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer US
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8178659/ https://www.ncbi.nlm.nih.gov/pubmed/34764604 http://dx.doi.org/10.1007/s10489-021-02442-y |
Ejemplares similares
-
Forecasting leading industry stock prices based on a hybrid time-series forecast model
por: Tsai, Ming-Chi, et al.
Publicado: (2018) -
A Four-Stage Hybrid Model for Hydrological Time Series Forecasting
por: Di, Chongli, et al.
Publicado: (2014) -
A Hybrid Forecasting Approach to Air Quality Time Series Based on Endpoint Condition and Combined Forecasting Model
por: Zhu, Jiaming, et al.
Publicado: (2018) -
Time-series forecasting /
por: Chatfield, Christopher
Publicado: (2000) -
Time-Series Forecasting
por: Chatfield, Chris
Publicado: (2000)