71 search results - page 2 / 15 » On the capabilities of neural networks using limited precisi... |
ACSC
2008
IEEE
13 years 7 months ago
2008
IEEE
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...
JIFS
2002
13 years 5 months ago
2002
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...
SOFSEM
2004
Springer
13 years 10 months ago
2004
Springer
Recent studies show that state-space dynamics of randomly initialized recurrent neural network (RNN) has interesting and potentially useful properties even without training. More p...
IJCNN
2006
IEEE
13 years 11 months ago
2006
IEEE
Abstract— High-level specification of how the brain represents and categorizes the causes of its sensory input allows to link “what is to be done” (perceptual task) with “...
ICONIP
2007
13 years 6 months ago
2007
Abstract. In neural networks, network faults can be exhibited in different forms, such as node fault and weight fault. One kind of weight faults is due to the hardware or software ...