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Catastrophic interference in neural network models is mitigated when the training data reflect a power-law environmental structure.
Sibley F. Lyndgaard
Zachary R. Tidler
Lucas Provine
Sashank Varma
Published in:
CogSci (2022)
Keyphrases
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power law
neural network model
training data
decision trees
artificial neural networks
scale free
neural network
data sets
network architecture
genetic algorithm
support vector machine
structural properties
small world
long range correlations