15 search results - page 1 / 3 » Pattern Matching and Neural Networks Based Hybrid Forecastin... |
ICAPR
2001
Springer
13 years 9 months ago
2001
Springer
In this paper we propose a Neural Net-PMRS hybrid for forecasting time-series data. The neural network model uses the traditional MLP architecture and backpropagation method of tr...
ENGL
2006
13 years 4 months ago
2006
Applying Vector Autoregression (VAR) and genetic algorithm (GA) in hybrid systems with neural network can improve the NN's prediction capability. Two case studies have been ca...
JSS
2011
12 years 7 months ago
2011
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...
NN
2008
Springer
13 years 4 months ago
2008
Springer
In the study of information flow in the nervous system, component processes can be investigated using a range of electrophysiological and imaging techniques. Although data is diff...
CCGRID
2006
IEEE
13 years 11 months ago
2006
IEEE
The applicability of network-based computing depends on the availability of the underlying network bandwidth. However, network resources are shared and the available network bandw...