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PCA and Gaussian noise in MLP neural network training improve generalization in problems with small and unbalanced data sets.
Icamaan B. Viegas da Silva
Paulo J. L. Adeodato
Published in:
IJCNN (2011)
Keyphrases
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gaussian noise
neural network training
neural network
principal component analysis
feature extraction
high dimensional
denoising
dimensionality reduction
signal to noise ratio
multilayer perceptron
nearest neighbor
noise level
particle swarm optimisation