364 search results - page 24 / 73 » Regularization Learning of Neural Networks for Generalizatio... |
134
Voted
SAB
2010
Springer
15 years 1 months ago
2010
Springer
Biological brains can adapt and learn from past experience. In neuroevolution, i.e. evolving artificial neural networks (ANNs), one way that agents controlled by ANNs can evolve t...
134
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GECCO
2005
Springer
15 years 8 months ago
2005
Springer
This paper outlines a radial basis function neural network approach to predict the failures in overhead distribution lines of power delivery systems. The RBF networks are trained ...
106
Voted
GECCO
2007
Springer
15 years 8 months ago
2007
Springer
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...
124
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GECCO
2008
Springer
15 years 3 months ago
2008
Springer
A developmental model of neural network is presented and evaluated in the game of Checkers. The network is developed using cartesian genetic programs (CGP) as genotypes. Two agent...
107
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IJCNN
2007
IEEE
15 years 9 months ago
2007
IEEE
– Constructive algorithms are effective methods for designing Artificial Neural Networks (ANN) with good accuracy and generalization capability, yet with parsimonious network str...