324 search results - page 27 / 65 » A new evolutionary method for time series forecasting |
HIS
2001
13 years 9 months ago
2001
Selection of the topology of a neural network and correct parameters for the learning algorithm is a tedious task for designing an optimal artificial neural...
KDD
2009
ACM
14 years 8 days ago
2009
ACM
We develop and evaluate an approach to causal modeling based on time series data, collectively referred to as“grouped graphical Granger modeling methods.” Graphical Granger mo...
ARCS
2006
Springer
13 years 11 months ago
2006
Springer
Today's FPGAs (Field Programmable Gate Arrays) are widely used, but not to their full potential. In Virtex series FPGAs from Xilinx a special feature, the dynamic and partial...
TFS
2008
13 years 7 months ago
2008
Abstract--This study proposes an efficient self-evolving evolutionary learning algorithm (SEELA) for neurofuzzy inference systems (NFISs). The major feature of the proposed SEELA i...
BC
2007
13 years 7 months ago
2007
We present a new approach of explaining partial causality in multivariate fMRI time series by a state space model. A given single time series can be divided into two noise-driven ...