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» Forecasting time series with multiple seasonal patterns
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TNN
2008
86views more  TNN 2008»
13 years 6 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
EUSFLAT
2009
203views Fuzzy Logic» more  EUSFLAT 2009»
13 years 4 months ago
Online Recognition of Fuzzy Time Series Patterns
This article deals with the recognition of recurring multivariate time series patterns modelled sample-point-wise by parametric fuzzy sets. An efficient classification-based approa...
Gernot Herbst, Steffen F. Bocklisch
CEC
2009
IEEE
14 years 1 months ago
Evolving hypernetwork models of binary time series for forecasting price movements on stock markets
— The paper proposes a hypernetwork-based method for stock market prediction through a binary time series problem. Hypernetworks are a random hypergraph structure of higher-order...
Elena Bautu, Sun Kim, Andrei Bautu, Henri Luchian,...
ICANN
2010
Springer
13 years 4 months ago
Time Series Forecasting by Evolving Artificial Neural Networks Using "Shuffle", Cross-Validation and Ensembles
Accurate time series forecasting are important for several business, research, and application of engineering systems. Evolutionary Neural Networks are particularly appealing becau...
Juan Peralta, Germán Gutiérrez, Arac...
DMIN
2006
122views Data Mining» more  DMIN 2006»
13 years 8 months ago
Cost-Sensitive Analysis in Multiple Time Series Prediction
- In this paper we propose a new methodology for Cost-Benefit analysis in a multiple time series prediction problem. The proposed model is evaluated in a real world application bas...
Chamila Walgampaya, Mehmed M. Kantardzic