299 search results - page 30 / 60 » Multi-dimensional Recurrent Neural Networks |
ESANN
2003
14 years 11 months ago
2003
In this paper fully connected RTRL neural networks are studied. In order to learn dynamical behaviours of linear-processes or to predict time series, an autonomous learning algori...
AIA
2006
14 years 11 months ago
2006
This paper presents a dynamic neural filter for adaptive noise cancellation. The cancellation task is transformed to a system-identification problem, which is tackled by use of th...
ESANN
2007
14 years 11 months ago
2007
Training recurrent neural networks is hard. Recently it has however been discovered that it is possible to just construct a random recurrent topology, and only train a single linea...
TNN
1998
14 years 9 months ago
1998
—Recurrent neural networks processing symbolic strings can be regarded as adaptive neural parsers. Given a set of positive and negative examples, picked up from a given language,...
79
Voted
ENGL
2006
14 years 9 months ago
2006
A direct adaptive neural network control system with and without integral action term is designed for the general class of continuous biological fermentation processes. The control...