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» Methodology for long-term prediction of time series
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GECCO
2008
Springer
179views Optimization» more  GECCO 2008»
13 years 8 months ago
A hybrid method for tuning neural network for time series forecasting
This paper presents an study about a new Hybrid method GRASPES - for time series prediction, inspired in F. Takens theorem and based on a multi-start metaheuristic for combinatori...
Aranildo Rodrigues Lima Junior, Tiago Alessandro E...
GECCO
2005
Springer
119views Optimization» more  GECCO 2005»
14 years 26 days ago
A new evolutionary method for time series forecasting
This paper presents a new method — the Time-delay Added Evolutionary Forecasting (TAEF) method — for time series prediction which performs an evolutionary search of the minimu...
Tiago A. E. Ferreira, Germano C. Vasconcelos, Paul...
CORR
2010
Springer
109views Education» more  CORR 2010»
13 years 7 months ago
Oil Price Trackers Inspired by Immune Memory
We outline initial concepts for an immune inspired algorithm to evaluate and predict oil price time series data. The proposed solution evolves a short term pool of trackers dynami...
William O. Wilson, Phil Birkin, Uwe Aickelin
JMLR
2011
187views more  JMLR 2011»
13 years 2 months ago
Robust Statistics for Describing Causality in Multivariate Time Series
A widely agreed upon definition of time series causality inference, established in the seminal 1969 article of Clive Granger (1969), is based on the relative ability of the histor...
Florin Popescu
INFOCOM
2006
IEEE
14 years 1 months ago
Predictability of WLAN Mobility and Its Effects on Bandwidth Provisioning
— Wireless local area networks (WLANs) are emerging as a popular technology for access to the Internet and enterprise networks. In the long term, the success of WLANs depends on ...
Libo Song, Udayan Deshpande, Ulas C. Kozat, David ...