Cargando…
A Four-Stage Hybrid Model for Hydrological Time Series Forecasting
Hydrological time series forecasting remains a difficult task due to its complicated nonlinear, non-stationary and multi-scale characteristics. To solve this difficulty and improve the prediction accuracy, a novel four-stage hybrid model is proposed for hydrological time series forecasting based on...
Autores principales: | Di, Chongli, Yang, Xiaohua, Wang, Xiaochao |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2014
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4128719/ https://www.ncbi.nlm.nih.gov/pubmed/25111782 http://dx.doi.org/10.1371/journal.pone.0104663 |
Ejemplares similares
-
Applied modeling of hydrologic time series /
Publicado: (1980) -
Forecasting leading industry stock prices based on a hybrid time-series forecast model
por: Tsai, Ming-Chi, et al.
Publicado: (2018) -
A novel general-purpose hybrid model for time series forecasting
por: Yang, Yun, et al.
Publicado: (2021) -
Energy-Based Wavelet De-Noising of Hydrologic Time Series
por: Sang, Yan-Fang, et al.
Publicado: (2014) -
Catchment memory explains hydrological drought forecast performance
por: Sutanto, Samuel Jonson, et al.
Publicado: (2022)