1029 search results - page 54 / 206 » Neural Networks and Complexity Theory |
IJON
2007
14 years 9 months ago
2007
Recent progress in chips–neuron interface suggests real biological neurons as long-term alternatives to silicon transistors. The first step ning such computing systems is to bu...
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ICANN
2005
Springer
15 years 3 months ago
2005
Springer
Spike synchronisation and de-synchronisation are important for feature binding and separation at various levels in the visual system. We present a model of complex valued neuron ac...
PADS
2005
ACM
15 years 3 months ago
2005
ACM
Neural systems are composed of a large number of highly-connected neurons and are widely simulated within the neurological community. In this paper, we examine the application of ...
ICANN
2005
Springer
15 years 3 months ago
2005
Springer
The use of entropy as a cost function in the neural network learning phase usually implies that, in the back-propagation algorithm, the training is done in batch mode. Apart from t...
ISCAS
1999
IEEE
15 years 2 months ago
1999
IEEE
A signal su ers from nonlinear, linear, and additive distortion when transmitted through a channel. Linear equalizers are commonly used in receivers to compensate for linear chann...