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FUZZY
1994
Springer
194views Fuzzy Logic» more  FUZZY 1994»
13 years 11 months ago
Improving a Fuzzy Inference System by Means of Evolution Strategy
In this paper, evolution strategy is applied in order to improve the time series prediction accuracy of a Sugeno and Takagi type fuzzy inference system FIS. The presented approach...
Willfried Wienholt
IDEAL
2004
Springer
14 years 22 days ago
Combining Local and Global Models to Capture Fast and Slow Dynamics in Time Series Data
Many time series exhibit dynamics over vastly different time scales. The standard way to capture this behavior is to assume that the slow dynamics are a “trend”, to de-trend t...
Michael Small
ACMICEC
2008
ACM
270views ECommerce» more  ACMICEC 2008»
13 years 9 months ago
Adaptive strategies for predicting bidding prices in supply chain management
Supply Chain Management (SCM) involves a number of interrelated activities from negotiating with suppliers to competing for customer orders and scheduling the manufacturing proces...
Yevgeniya Kovalchuk, Maria Fasli
IDEAL
2007
Springer
14 years 1 months ago
Partitioning-Clustering Techniques Applied to the Electricity Price Time Series
Clustering is used to generate groupings of data from a large dataset, with the intention of representing the behavior of a system as accurately as possible. In this sense, cluster...
Francisco Martínez-Álvarez, Alicia T...
EUROCAST
2009
Springer
143views Hardware» more  EUROCAST 2009»
14 years 1 months ago
Fitting Rectangular Signals to Time Series Data by Metaheuristic Algorithms
Abstract. In this work we consider the application of metaheuristic algorithms to the problem of fitting rectangular signals to time-data series. The application background is to ...
Andreas M. Chwatal, Günther R. Raidl