2210 search results - page 35 / 442 » Information complexity of neural networks |
NN
2000
Springer
14 years 11 months ago
2000
Springer
A method for the development of empirical predictive models for complex processes is presented. The models are capable of performing accurate multi-step-ahead (MS) predictions, wh...
105
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ICANN
2005
Springer
15 years 5 months ago
2005
Springer
Humans can recognize biological motion from strongly impoverished stimuli, like point-light displays. Although the neural mechanism underlying this robust perceptual process have n...
100
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TNN
1998
14 years 11 months ago
1998
—Recurrent neural networks processing symbolic strings can be regarded as adaptive neural parsers. Given a set of positive and negative examples, picked up from a given language,...
127
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GLOBECOM
2010
IEEE
14 years 9 months ago
2010
IEEE
Abstract--Wireless networks, especially mobile ad hoc networks (MANET) and cognitive radio networks (CRN), are facing two new challenges beyond traditional random network model: op...
EVOW
2009
Springer
15 years 3 months ago
2009
Springer
In this paper the node-level decision unit of a self-learning anomaly detection mechanism for office monitoring with wireless sensor nodes is presented. The node-level decision uni...