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» Grey system theory-based models in time series prediction
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NPL
2011
12 years 11 months ago
A Neural Network Scheme for Long-Term Forecasting of Chaotic Time Series
The accuracy of a model to forecast a time series diminishes as the prediction horizon increases, in particular when the prediction is carried out recursively. Such decay is faster...
Pilar Gómez-Gil, Juan Manuel Ramírez...
CSMR
2008
IEEE
14 years 3 months ago
Trend Analysis and Issue Prediction in Large-Scale Open Source Systems
Effort to evolve and maintain a software system is likely to vary depending on the amount and frequency of change requests. This paper proposes to model change requests as time se...
Bénédicte Kenmei, Giuliano Antoniol,...
IDEAL
2004
Springer
14 years 1 months 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
ICANN
2001
Springer
14 years 1 months ago
Generalized Relevance LVQ for Time Series
Abstract. An application of the recently proposed generalized relevance learning vector quantization (GRLVQ) to the analysis and modeling of time series data is presented. We use G...
Marc Strickert, Thorsten Bojer, Barbara Hammer
ICNC
2005
Springer
14 years 2 months ago
A Time-Series Decomposed Model of Network Traffic
: Traffic behavior in a large-scale network can be viewed as a complicated non-linear system, so it is very difficult to describe the long-term network traffic behavior in a large-...
Guang Cheng, Jian Gong, Wei Ding 0001