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Towards a mathematical framework to inform neural network modelling via polynomial regression.
Pablo Morala
Jenny Alexandra Cifuentes
Rosa E. Lillo
Iñaki Ucar
Published in:
Neural Networks (2021)
Keyphrases
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mathematical framework
polynomial regression
neural network
image formation
locally weighted
back propagation
mdl principle
pattern recognition
least squares
genetic algorithm
data sets
three dimensional
bayesian networks
support vector
high dimensional
mutual information
regression model
training algorithm