18 search results - page 2 / 4 » Time series prediction with recurrent neural networks traine... |
NN
2007
Springer
13 years 4 months ago
2007
Springer
In the last decade, recurrent neural networks (RNNs) have attracted more efforts in inferring genetic regulatory networks (GRNs), using time series gene expression data from micro...
IPPS
2007
IEEE
13 years 11 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 ...
NCA
2008
IEEE
13 years 4 months ago
2008
IEEE
Motivated by the slow learning properties of multilayer perceptrons (MLPs) which utilize computationally intensive training algorithms, such as the backpropagation learning algorit...
VTC
2006
IEEE
13 years 10 months ago
2006
IEEE
Abstract—In this contribution, the application of fully connected recurrent neural networks (FCRNNs) is investigated in the context of narrowband channel prediction. Three differ...
ESANN
2006
13 years 6 months ago
2006
Abstract. We introduce a new class of recurrent, truly sequential SVM-like devices with internal adaptive states, trained by a novel method called EVOlution of systems with KErnel-...