978 search results - page 1 / 196 » Some neural networks compute, others don't |
NN
2008
Springer
13 years 4 months ago
2008
Springer
I address whether neural networks perform computations in the sense of computability theory and computer science. I explicate and defend the following theses. (1) Many neural netw...
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Neural networks learn by adjusting numeric values called weights and thresholds. A weight specifies how strong of a connection exists between two neurons. A threshold is a value,...
IJCNN
2006
IEEE
13 years 10 months ago
2006
IEEE
Abstract— Dynamic neural networks with different timescales include the aspects of fast and slow phenomenons. Some applications require that the equilibrium points of these netwo...
IDA
2003
Springer
13 years 9 months ago
2003
Springer
This paper presents an alternative to distance-based neural networks. A distance measure is the underlying property on which many neural models rely, for example self-organizing ma...
IWANN
2009
Springer
13 years 8 months ago
2009
Springer
We propose a general method for estimating the distance between a compact subspace K of the space L1 ([0, 1]s ) of Lebesgue measurable functions defined on the hypercube [0, 1]s ,...