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JMLR
2006
389views more  JMLR 2006»
15 years 2 months ago
A Very Fast Learning Method for Neural Networks Based on Sensitivity Analysis
This paper introduces a learning method for two-layer feedforward neural networks based on sensitivity analysis, which uses a linear training algorithm for each of the two layers....
Enrique Castillo, Bertha Guijarro-Berdiñas,...
NN
2008
Springer
150views Neural Networks» more  NN 2008»
15 years 2 months ago
Neural network based pattern matching and spike detection tools and services - in the CARMEN neuroinformatics project
In the study of information flow in the nervous system, component processes can be investigated using a range of electrophysiological and imaging techniques. Although data is diff...
Martyn Fletcher, Bojian Liang, Leslie Smith, Alast...
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IJCINI
2007
110views more  IJCINI 2007»
15 years 2 months ago
Toward Autonomic Computing: Adaptive Neural Network for Trajectory Planning
: The theme of this issue of IJCINI is on cognitive mechanisms of autonomic computing and laws of human cooperative work organization. This editorial addresses key notions of this ...
Amar Ramdane-Cherif
TCAD
2010
150views more  TCAD 2010»
14 years 9 months ago
Voltage and Temperature Aware Statistical Leakage Analysis Framework Using Artificial Neural Networks
Artificial neural networks (ANNs) have shown great promise in modeling circuit parameters for computer aided design applications. Leakage currents, which depend on process paramete...
Janakiraman Viraraghavan, Bharadwaj Amrutur, V. Vi...
EUROCOLT
1997
Springer
15 years 6 months ago
Vapnik-Chervonenkis Dimension of Recurrent Neural Networks
Most of the work on the Vapnik-Chervonenkis dimension of neural networks has been focused on feedforward networks. However, recurrent networks are also widely used in learning app...
Pascal Koiran, Eduardo D. Sontag