66 search results - page 7 / 14 » Learning Precise Timing with LSTM Recurrent Networks |
NN
1998
Springer
14 years 9 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...
IPPS
2007
IEEE
15 years 3 months ago
2007
IEEE
In the paper we present a new approach based on application of neural networks to detect SQL attacks. SQL attacks are those attacks that take advantage of using SQL statements to ...
104
click to vote
IJACTAICIT
2010
14 years 4 months ago
2010
In this paper, a recurrent neural network based fuzzy inference system (RNFIS) for prediction is proposed. A recurrent network is embedded in the RNFIS by adding feedback connecti...
EUROCOLT
1997
Springer
15 years 1 months ago
1997
Springer
Most of the work on the Vapnik-Chervonenkis dimension of neural networks has been focused on feedforward networks. However, recurrent networks are also widely used in learning app...
FOCI
2007
IEEE
15 years 3 months ago
2007
IEEE
— Backpropagation through time is a very popular discrete-time recurrent neural network training algorithm. However, the computational time associated with the learning process t...