1029 search results - page 17 / 206 » Neural Networks and Complexity Theory |
CONTEXT
2001
Springer
15 years 2 months ago
2001
Springer
A recent report by the National Research Council (NRC) declares neural networks “hold the most promise for providing powerful learning models”. While some researchers have expe...
ICANN
2001
Springer
15 years 2 months ago
2001
Springer
Natural videos obtained from a camera mounted on a cat’s head are used as stimuli for a network of subspace energy detectors. The network is trained by gradient ascent on an obje...
IJCNN
2000
IEEE
15 years 2 months ago
2000
IEEE
Sensitivity analysis is a method for extracting the cause and effect relationship between the inputs and outputs of the network. After training a neural network, one may want to k...
CORR
2008
Springer
14 years 9 months ago
2008
Springer
We introduce a general stochastic model for the spread of rumours, and derive mean-field equations that describe the dynamics of the model on complex social networks (in particula...
IWANN
2001
Springer
15 years 2 months ago
2001
Springer
In the beginning of nineties, Hava Siegelmann proposed a new computational model, the Artificial Recurrent Neural Network (ARNN), and proved that it could perform hypercomputation....