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Radial Basis Function Network: Artificial Neural Network, Radial Basis Function, Linear Combination, Function Approximation, Time Series, Control Theory, Universal Approximation Theorem -

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2026-03-21
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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 t ... Pilns apraksts

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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 ßi. In the sequential training of the weights are updated at each time step as data streams in.

Vairāk informācijas

Izdevējs OmniScriptum
Izlaides gads 2026
Vāka tips Mīkstais vāks
EAN 9786130315924
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137,01 € 195,73 €