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» Evolving a neural network using dyadic connections
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ICASSP
2011
IEEE
12 years 11 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
GECCO
2007
Springer
178views Optimization» more  GECCO 2007»
14 years 1 months ago
Nonlinear dynamics modelling for controller evolution
The problem of how to acquire a model of a physical robot, which is fit for evolution of controllers that can subsequently be used to control that robot, is considered in the con...
Julian Togelius, Renzo De Nardi, Hugo Gravato Marq...
SYRCODIS
2007
126views Database» more  SYRCODIS 2007»
13 years 9 months ago
Concept Lattice Reduction by Singular Value Decomposition
High complexity of lattice construction algorithms and uneasy way of visualising lattices are two important problems connected with the formal concept analysis. Algorithm complexi...
Václav Snásel, Martin Polovincak, Hu...
IJCNN
2008
IEEE
14 years 2 months ago
A quantum calculus formulation of dynamic programming and ordered derivatives
— Much recent research activity has focused on the theory and application of quantum calculus. This branch of mathematics continues to find new and useful applications and there ...
John Seiffertt, Donald C. Wunsch
ICANN
2007
Springer
13 years 11 months ago
An Efficient Method for Pruning the Multilayer Perceptron Based on the Correlation of Errors
Abstract. In this paper we present a novel method for pruning redundant weights of a trained multilayer Perceptron (MLP). The proposed method is based on the correlation analysis o...
Cláudio M. S. Medeiros, Guilherme De A. Bar...