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» Pattern recognition to forecast seismic time series
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JSS
2011
126views more  JSS 2011»
12 years 8 months ago
A novel statistical time-series pattern based interval forecasting strategy for activity durations in workflow systems
Forecasting workflow activity durations is of great importance to support satisfactory QoS in workflow systems. Traditionally, a workflow system is often designed to facilitate the...
Xiao Liu, Zhiwei Ni, Dong Yuan, Yuan-Chun Jiang, Z...
ISCC
2007
IEEE
13 years 11 months ago
Long Horizon End-to-End Delay Forecasts: A Multi-Step-Ahead Hybrid Approach
A long horizon end-to-end delay forecast, if possible, will be a breakthrough in traffic engineering. This paper introduces a hybrid approach to forecast end-to-end delays using ...
Vinh Bui, Weiping Zhu, Antonio Pescapè, Ale...
EOR
2008
71views more  EOR 2008»
13 years 5 months ago
Forecasting time series with multiple seasonal patterns
Phillip G. Gould, Anne B. Koehler, J. Keith Ord, R...
IJCSA
2006
289views more  IJCSA 2006»
13 years 5 months ago
Cash Forecasting: An Application of Artificial Neural Networks in Finance
Artificial Neural Networks are universal and highly flexible function approximators first used in the fields of cognitive science and engineering. In recent years, Neural Networks...
PremChand Kumar, Ekta Walia
TNN
2008
86views more  TNN 2008»
13 years 5 months ago
Trend Time-Series Modeling and Forecasting With Neural Networks
Abstract--Despite its great importance, there has been no general consensus on how to model the trends in time
Min Qi, G. Peter Zhang