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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 ... Täielik kirjeldus

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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.

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Kirjastaja OmniScriptum
Väljalaskeaasta 2026
Kaanetüüp Pehme kaanega
EAN 9786130315924
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Te vaatate: 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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117,44 € 195,73 €