139 search results - page 17 / 28 » Multi-step-ahead prediction using dynamic recurrent neural n... |
IJCNN
2006
IEEE
15 years 3 months ago
2006
IEEE
— Neural networks are used in a wide number of fields including signal and image processing, modeling and control and pattern recognition. Some of the most common type of neural ...
IJCNN
2000
IEEE
15 years 2 months ago
2000
IEEE
Neural Network approaches to time series prediction are briefly discussed, and the need to specify an appropriately sized input window identified. Relevant theoretical results fro...
NPL
2006
14 years 9 months ago
2006
A novel neural network model is described that implements context-dependent learning of complex sequences. The model utilises leaky integrate-and-fire neurons to extract timing inf...
NN
2008
Springer
14 years 9 months ago
2008
Springer
Reservoir Computing (RC) techniques use a fixed (usually randomly created) recurrent neural network, or more generally any dynamic system, which operates at the edge of stability,...
ICRA
1998
IEEE
15 years 1 months ago
1998
IEEE
Abstract--Manufacturing scheduling is an important but difficult task. In order to effectively solve such combinatorial optimization problems, this paper presents a novel Lagrangia...