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HAIS
2010
Springer
13 years 3 months ago
GENNET-Toolbox: An Evolving Genetic Algorithm for Neural Network Training
Vicente Gómez-Garay, Eloy Irigoyen, Fernand...
IWANN
2009
Springer
13 years 12 months ago
A Genetic Algorithm for ANN Design, Training and Simplification
This paper proposes a new evolutionary method for generating ANNs. In this method, a simple real-number string is used to codify both architecture and weights of the networks. Ther...
Daniel Rivero, Julian Dorado, Enrique Ferná...
GECCO
1999
Springer
133views Optimization» more  GECCO 1999»
13 years 9 months ago
Forecasting the MagnetoEncephaloGram (MEG) of Epileptic Patients Using Genetically Optimized Neural Networks
In this work MagnetoEncephaloGram (MEG) recordings of epileptic patients were analyzed using a hybrid neural networks training algorithm. This algorithm combines genetic algorithm...
Adam V. Adamopoulos, Efstratios F. Georgopoulos, S...
GECCO
2008
Springer
110views Optimization» more  GECCO 2008»
13 years 6 months ago
Evolving stable behavior in a spino-neuromuscular system model
This paper demonstrates the effectiveness of genetic algorithms in training stable behavior in a model of the spinoneuromuscular system (SNMS). In particular, we test the stabili...
Stanley Phillips Gotshall, Terry Soule
ICANNGA
2009
Springer
203views Algorithms» more  ICANNGA 2009»
13 years 12 months ago
NEAT in HyperNEAT Substituted with Genetic Programming
In this paper we present application of genetic programming (GP) [1] to evolution of indirect encoding of neural network weights. We compare usage of original HyperNEAT algorithm w...
Zdenek Buk, Jan Koutník, Miroslav Snorek