Copertina di Radial Basis Function Network
Titolo del libro:

Radial Basis Function Network

Betascript Publishing (23.08.2013 )

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ISBN-13:

978-613-0-31592-4

ISBN-10:
6130315929
EAN:
9786130315924
Lingua del libro:
Inglese
Risvolto di copertina:
Please note that the content of this book primarily consists of articles available from Wikipedia or other free sources online. A radial basis function network is an artificial neural network that uses radial basis functions as activation functions. It is a linear combination of radial basis functions. They are used in function approximation, time series prediction, and control. In a RBF network there are three types of parameters that need to be chosen to adapt the network for a particular task: the center vectors mathbf c_i, the output weights wi, and the RBF width parameters βi. In the sequential training of the weights are updated at each time step as data streams in.
Casa editrice:
Betascript Publishing
Sito Web:
https://www.betascript-publishing.com/
A cura di:
Lambert M. Surhone, Mariam T. Tennoe, Susan F. Henssonow
Numero di pagine:
84
Pubblicato il:
23.08.2013
Giacenza di magazzino:
Disponibile
categoria:
Matematica
Prezzo:
34,00 €
Parole chiave:
Artificial Neural Network, Radial Basis Function, Linear Combination, function approximation, time series, Control Theory, Euclidean distance, Universal Approximation Theorem

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