168 search results - page 7 / 34 » Recurrent neural networks in systems identification |
GECCO
2005
Springer
14 years 1 months ago
2005
Springer
Recurrent neural networks are theoretically capable of learning complex temporal sequences, but training them through gradient-descent is too slow and unstable for practical use i...
ESANN
2003
13 years 9 months ago
2003
In this tutorial paper about mathematical aspects of neural networks, we will focus on two directions: on the one hand, we will motivate standard mathematical questions and well st...
IWANN
2005
Springer
14 years 1 months ago
2005
Springer
Face recognition is one of the most important image processing research topics which is widely used in personal identification, verification and security applications. In this pape...
NN
1998
Springer
13 years 7 months ago
1998
Springer
A recurrent neural network can possess multiple stable states, a property that many brain theories have implicated in learning and memory. There is good evidence for such multista...
ACSC
2008
IEEE
13 years 9 months ago
2008
IEEE
Recurrent neural networks are able to store information about previous as well as current inputs. This "memory" allows them to solve temporal problems such as language r...