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ACSC
2008
IEEE
13 years 9 months ago
An investigation of the state formation and transition limitations for prediction problems in recurrent neural networks
Recurrent neural networks are able to store information about previous as well as current inputs. This "memory" allows them to solve temporal problems such as language r...
Angel Kennedy, Cara MacNish
ESANN
2008
13 years 9 months ago
Pruning and Regularisation in Reservoir Computing: a First Insight
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...
Xavier Dutoit, Benjamin Schrauwen, Jan M. Van Camp...
JIFS
2002
60views more  JIFS 2002»
13 years 7 months ago
Turing's analysis of computation and artificial neural networks
A novel way to simulate Turing Machines (TMs) by Artificial Neural Networks (ANNs) is proposed. We claim that the proposed simulation is in agreement with the correct interpretatio...
Wilson Rosa de Oliveira, Marcílio Carlos Pe...
NGC
2010
Springer
183views Communications» more  NGC 2010»
13 years 2 months ago
Brain-like Computing Based on Distributed Representations and Neurodynamics
A key to overcoming the limitations of classical artificial intelligence and to deal well with enormous amounts of information might be brain-like computing in which distributed re...
Ken Yamane, Masahiko Morita
MIRRORBOT
2005
Springer
119views Robotics» more  MIRRORBOT 2005»
14 years 29 days ago
A Hybrid Architecture Using Cross-Correlation and Recurrent Neural Networks for Acoustic Tracking in Robots
 Audition is one of our most important modalities and is widely used  to communicate and sense the environment around us.  We present an auditory  robotic...
John C. Murray, Harry R. Erwin, Stefan Wermter