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On the Uniform Convergence of the Orthogonal Series-Type Kernel Regression Neural Networks in a Time-Varying Environment.
Meng Joo Er
Piotr Duda
Published in:
ICAISC (1) (2012)
Keyphrases
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kernel regression
uniform convergence
neural network
regression model
learning rate
risk minimization
artificial neural networks
sufficient conditions
back propagation
linear regression
reproducing kernel hilbert space
statistical learning theory
machine learning
fault diagnosis
euclidean distance