2210 search results - page 20 / 442 » Information complexity of neural networks |
ISNN
2005
Springer
15 years 5 months ago
2005
Springer
Contextual information and a priori knowledge play important roles in image segmentation based on neural networks. This paper proposed a method for including contextual information...
107
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ITNG
2010
IEEE
14 years 10 months ago
2010
IEEE
The ever-growing use of the Internet comes with a surging escalation of communication and data access. Most existing intrusion detection systems have assumed the one-size-fits-all...
134
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NCA
2006
IEEE
14 years 11 months ago
2006
IEEE
The use of multilayer perceptrons (MLP) with threshold functions (binary step function activations) greatly reduces the complexity of the hardware implementation of neural networks...
115
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GI
1998
Springer
15 years 4 months ago
1998
Springer
"KnowledgeMiner" was designed to support the knowledge extraction process on a highly automated level. Implemented are 3 different GMDH-type self-organizing modeling algo...
COMPLEX
2009
Springer
15 years 4 months ago
2009
Springer
Most influence networks are depicted as nodes and links operating in the manner of a feed-forward neural network where both nodes and links appear to be homogenous in their nature....