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» Evolving Complex Neural Networks
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ISITA
2010
14 years 8 months ago
Lattice-reduction aided HNN for vector precoding
In this paper we propose a modication of the Hopeld neural networks for vector precoding, based on Lenstra, Lenstra, and Lov`asz lattice basis reduction. This precoding algorithm c...
Vesna Gardasevic, Ralf R. Müller, Daniel J. R...
ICASSP
2011
IEEE
14 years 1 months ago
Multichannel EEG analysis based on multi-scale multi-information
Functional connectivity has been widely used to reveal the dependencies between signals in complex networks such as neural networks observed from electroencephalogram (EEG) data. ...
Ying Liu, Selin Aviyente
ISCAS
2007
IEEE
128views Hardware» more  ISCAS 2007»
15 years 4 months ago
Synchronization of the Time-Varying Discrete Biological Networks
Abstract— The study of synchronization of population dynamics is extremely important for predicting and evaluating the risk of global extinctions. The migration in a network of p...
Liang Chen, Jinhu Lu, Junan Lu
ML
2000
ACM
185views Machine Learning» more  ML 2000»
14 years 10 months ago
A Comparison of Prediction Accuracy, Complexity, and Training Time of Thirty-Three Old and New Classification Algorithms
Twenty-two decision tree, nine statistical, and two neural network algorithms are compared on thirty-two datasets in terms of classification accuracy, training time, and (in the ca...
Tjen-Sien Lim, Wei-Yin Loh, Yu-Shan Shih
ESANN
2006
14 years 11 months ago
Dynamical reservoir properties as network effects
It has been proposed that chaos can serve as a reservoir providing an infinite number of dynamical states [1, 2, 3, 4, 5]. These can be interpreted as different behaviors, search a...
Carlos Lourenço