Cargando…
Time series forecasting for uni- variant data using hybrid GA-OLSTM model and performance evaluations
Time series forecasting of uni-variant rainfall data is done using a hybrid genetic algorithm integrated with optimized long-short term memory (GA-OLSTM) model. The parameters included for the valuation of the efficiency of the considered model, were mean square error (MSE), root mean square error (...
Autores principales: | Thakur, Nisha, Karmakar, Sanjeev, Soni, Sunita |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer Nature Singapore
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8994699/ https://www.ncbi.nlm.nih.gov/pubmed/35434498 http://dx.doi.org/10.1007/s41870-022-00914-z |
Ejemplares similares
-
Time Series Complexities and Their Relationship to Forecasting Performance
por: Ponce-Flores, Mirna, et al.
Publicado: (2020) -
Forecasting leading industry stock prices based on a hybrid time-series forecast model
por: Tsai, Ming-Chi, et al.
Publicado: (2018) -
Time-series forecasting /
por: Chatfield, Christopher
Publicado: (2000) -
Time-Series Forecasting
por: Chatfield, Chris
Publicado: (2000) -
A Four-Stage Hybrid Model for Hydrological Time Series Forecasting
por: Di, Chongli, et al.
Publicado: (2014)