139 search results - page 11 / 28 » Multi-step-ahead prediction using dynamic recurrent neural n... |
86
Voted
ICASSP
2011
IEEE
14 years 1 months ago
2011
IEEE
We investigate classification of non-linguistic vocalisations with a novel audiovisual approach and Long Short-Term Memory (LSTM) Recurrent Neural Networks as highly successful d...
93
Voted
EVOW
2003
Springer
15 years 2 months ago
2003
Springer
Abstract. This paper explores the capabilities of continuous time recurrent neural networks (CTRNNs) to display reinforcement learning-like abilities on a set of T-Maze and double ...
NIPS
1998
14 years 11 months ago
1998
Symmetrically connected recurrent networks have recently been used as models of a host of neural computations. However, biological neural networks have asymmetrical connections, at...
ESANN
2008
14 years 11 months ago
2008
Reservoir Computing is a new paradigm for using Recurrent Neural Networks which shows promising results. However, as the recurrent part is created randomly, it typically needs to b...
CIMCA
2005
IEEE
15 years 3 months ago
2005
IEEE
This paper presents a recurrent fuzzy-neural filter for adaptive noise cancellation. The cancellation task is transformed to a system-identification problem, which is tackled by u...