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CEC
2005
IEEE
15 years 3 months ago
Evolving improved incremental learning schemes for neural network systems
It is well known that incremental learning can often be difficult for traditional neural network systems, due to newly learned information interfering with previously learned infor...
Tebogo Seipone, John A. Bullinaria
ARTMED
2002
121views more  ARTMED 2002»
14 years 9 months ago
An evolutionary artificial neural networks approach for breast cancer diagnosis
This paper presents an evolutionary artificial neural network approach based on the pareto differential evolution algorithm augmented with local search for the prediction of breas...
Hussein A. Abbass
84
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TNN
2008
143views more  TNN 2008»
14 years 9 months ago
Blur Identification by Multilayer Neural Network Based on Multivalued Neurons
A multilayer neural network based on multivalued neurons (MLMVN) is a neural network with a traditional feedforward architecture. At the same time, this network has a number of spe...
Igor N. Aizenberg, Dmitriy Paliy, Jacek M. Zurada,...
GECCO
2007
Springer
176views Optimization» more  GECCO 2007»
15 years 3 months ago
The effect of learning on life history evolution
A series of evolutionary neural network simulations are presented which explore the hypothesis that learning factors can result in the evolution of long periods of parental protec...
John A. Bullinaria
NN
2008
Springer
146views Neural Networks» more  NN 2008»
14 years 9 months ago
Clustering and co-evolution to construct neural network ensembles: An experimental study
This paper introduces an approach called Clustering and Co-evolution to Construct Neural Network Ensembles (CONE). This approach creates neural network ensembles in an innovative ...
Fernanda L. Minku, Teresa Bernarda Ludermir