Time Series Analysis, Modeling and Applications : A Computational Intelligence Perspective /
| Autor Corporativo: | |
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| Otros Autores: | , |
| Formato: | eBook |
| Lenguaje: | English |
| Publicado: |
Berlin, Heidelberg :
Springer Berlin Heidelberg : Imprint: Springer,
2013.
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| Edición: | 1st ed. 2013. |
| Colección: | Intelligent Systems Reference Library,
47 |
| Materias: |
Tabla de Contenidos:
- From the Contents: The links between statistical and fuzzy models for time series analysis and forecasting
- Incomplete time series: imputation through Genetic Algorithms
- Intelligent aggregation and time series smoothing
- Financial fuzzy Time series models based on ordered fuzzy numbers
- Stochastic-fuzzy knowledge-based approach to temporal data modeling.-A Novel Choquet integral composition forecasting model for time series data based on completed extensional L-measure
- An application of enhanced knowledge models to fuzzy time series
- A wavelet transform approach to chaotic short-term forecasting
- Fuzzy forecasting with fractal analysis for the time series of environmental pollution
- Support vector regression with kernel Mahalanobis measure for financial forecast.