299 search results - page 7 / 60 » Multi-dimensional Recurrent Neural Networks |
ESANN
2000
14 years 6 days ago
2000
: Recurrent neural networks possess interesting universal approximation capabilities, making them good candidates for time series modeling. Unfortunately, long term dependencies ar...
IAJIT
2010
13 years 9 months ago
2010
: This paper describes the development of neural network models for noise reduction. The networks used to enhance the performance of modeling captured signals by reducing the effec...
ITNG
2010
IEEE
13 years 9 months ago
2010
IEEE
The ever-growing use of the Internet comes with a surging escalation of communication and data access. Most existing intrusion detection systems have assumed the one-size-fits-all...
NN
1998
Springer
13 years 10 months ago
1998
Springer
Learning long-term temporal dependencies with recurrent neural networks can be a difficult problem. It has recently been shown that a class of recurrent neural networks called NA...
NGC
2010
Springer
13 years 5 months ago
2010
Springer
A key to overcoming the limitations of classical artificial intelligence and to deal well with enormous amounts of information might be brain-like computing in which distributed re...