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Adaptive Learning of Polynomial Networks
Tallenna

Adaptive Learning of Polynomial Networks

The main claim is that the model identification process involves several equally important steps: finding the model structure, estimating the model weight parameters, and tuning these weights with respect to the adopted assumptions about the underlying data distrib­ ution.
Alaotsikko
Genetic Programming, Backpropagation and Bayesian Methods
Painos
Softcover reprint of hardcover 1st ed. 2006
ISBN
9781441940605
Kieli
englanti
Paino
310 grammaa
Julkaisupäivä
11.2.2011
Sivumäärä
316