324 search results - page 2 / 65 » A new evolutionary method for time series forecasting |
GECCO
2009
Springer
13 years 11 months ago
2009
Springer
This work provides an analysis of using the evolutionary algorithm EPNet to create ensembles of artificial neural networks to solve a range of forecasting tasks. Several previous...
EATIS
2007
ACM
13 years 8 months ago
2007
ACM
Abstract-- The growth of wireless network use has greatly increased research demand. Some applications, which are contextaware, must adapt to the environment. So, information on bo...
CEC
2009
IEEE
13 years 11 months ago
2009
IEEE
— 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...
GECCO
2005
Springer
13 years 10 months ago
2005
Springer
Time series have been a major topic of interest and analysis for hundreds of years, with forecasting a central problem. A large body of analysis techniques has been developed, par...
AUSAI
2004
Springer
13 years 10 months ago
2004
Springer
We present here an original work that uses machine learning techniques to combine time series forecasts. In this proposal, a machine learning technique uses features of the series ...