73 search results - page 3 / 15 » Conditional prediction of time series using spiral recurrent... |
ESANN
2006
13 years 7 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-...
IPPS
2007
IEEE
14 years 2 days 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 ...
IDEAL
2005
Springer
13 years 11 months ago
2005
Springer
Abstract. Gaussian processes have been favourably compared to backpropagation neural networks as a tool for regression. We show that a recurrent neural network can implement exact ...
ENGL
2007
13 years 5 months ago
2007
—This paper presents the advances of a research using a combination of recurrent and feed-forward neural networks for long term prediction of chaotic time series. It is known tha...
ICA
2010
Springer
13 years 4 months ago
2010
Springer
One potential strength of recurrent neural networks (RNNs) is their – theoretical – ability to find a connection between cause and consequence in time series in an constraint-...