Time Series Analysis, Modeling and Applications : A Computational Intelligence Perspective
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Overview
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.
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Details
- ISBN-13: 9783642437007
- ISBN-10: 3642437001
- Publisher: Springer
- Publish Date: December 2014
- Dimensions: 9.21 x 6.14 x 0.85 inches
- Shipping Weight: 1.27 pounds
- Page Count: 404
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