1173 search results - page 33 / 235 » Neural networks for computational neuroscience |
177
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ICANN
2010
Springer
15 years 7 months ago
2010
Springer
Training convolutional neural networks (CNNs) on large sets of high-resolution images is too computationally intense to be performed on commodity CPUs. Such architectures however ...
795
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Tutorial
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,...
177
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IWCMC
2006
ACM
16 years 1 days ago
2006
ACM
This paper presents a neural network model for routing in the space segment of a Satellite Personal Communication System. At first, a proper energy function is constructed from th...
171
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RSCTC
2000
Springer
15 years 9 months ago
2000
Springer
This paper introduces a neural network architecture based on rough sets and rough membership functions. The neurons of such networks instantiate approximate reasoning in assessing ...
146
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CORR
2008
Springer
15 years 6 months ago
2008
Springer
Abstract The Little-Hopfield neural network programmed with Horn clauses is studied. We argue that the energy landscape of the system, corresponding to the inconsistency function f...