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Using promoters and functional introns in genetic algorithms for neuroevolutionary learning in non-stationary problems.
Francisco Bellas
José Antonio Becerra
Richard J. Duro
Published in:
Neurocomputing (2009)
Keyphrases
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non stationary
genetic algorithm
learning algorithm
solving problems
learning process
neural network
learning tasks
reinforcement learning
evolutionary algorithm
supervised learning
data mining
artificial neural networks
simulated annealing
hyperspectral
adaptive algorithms
change point detection