Time Series Analysis, Modeling and Applications: A Computational Intelligence Perspective

By Witold Pedrycz

Book 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.

• Format: Paperback
• Language: English
• ISBN: 3642437001
• ISBN13: 9783642437007
• Release Date: December 2014
• Publisher: Springer
• Length: 404 Pages
• Weight: 1.27 lbs.
• Dimensions: 0.8" x 6.1" x 9.2"