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HAIS
2010
Springer
14 years 9 months ago
GENNET-Toolbox: An Evolving Genetic Algorithm for Neural Network Training
Vicente Gómez-Garay, Eloy Irigoyen, Fernand...
IWANN
2009
Springer
15 years 5 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»
15 years 3 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»
15 years 7 hour 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»
15 years 5 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