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Anglický jazyk
Radial Basis Function Network
Autor: Lambert M. Surhone
High Quality Content by WIKIPEDIA articles! 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,... Viac o knihe
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O knihe
High Quality Content by WIKIPEDIA articles! 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 ßi. In the sequential training of the weights are updated at each time step as data streams in.
- Vydavateľstvo: OmniScriptum
- Rok vydania: 2026
- Formát: Paperback
- Rozmer: 220 x 150 mm
- Jazyk: Anglický jazyk
- ISBN: 9786130315924
