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» Recurrent neural networks in systems identification
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NN
2011
Springer
217views Neural Networks» more  NN 2011»
12 years 11 months ago
A neurodynamical model for working memory
Neurodynamical models of working memory (WM) should provide mechanisms for storing, maintaining, retrieving, and deleting information. Many models address only a subset of these a...
Razvan Pascanu, Herbert Jaeger
AIA
2006
13 years 10 months ago
Recurrent and Concurrent Neural Networks for Objects Recognition
A system based on a neural network framework is considered. We used two neural networks, an Elman network [1][2] and a Kohonen (concurrent) network [3], for a categorization task....
Federico Cecconi, Marco Campenní
ITNG
2010
IEEE
13 years 7 months ago
Scalable Intrusion Detection with Recurrent Neural Networks
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...
Longy O. Anyanwu, Jared Keengwe, Gladys A. Arome
NCI
2004
132views Neural Networks» more  NCI 2004»
13 years 10 months ago
A comparison between spiking and differentiable recurrent neural networks on spoken digit recognition
In this paper we demonstrate that Long Short-Term Memory (LSTM) is a differentiable recurrent neural net (RNN) capable of robustly categorizing timewarped speech data. We measure ...
Alex Graves, Nicole Beringer, Jürgen Schmidhu...