Radial basis function network

Figure 3: Two normalized radial basis functions in one input dimension. The basis function centers are located at and .Figure 4: Three normalized radial basis functions in one input dimension. The additional basis function has center at Figure 5: Four normalized radial basis functions in one input dimension. The fourth basis function has center at . Note that the first basis function (dark blue) has become localized.

In the field of mathematical modeling, a radial basis function network is an artificial neural network that uses radial basis functions as activation functions. The output of the network is a linear combination of radial basis functions of the inputs and neuron parameters. Radial basis function networks have many uses, including function approximation, time series prediction, classification, and system control. They were first formulated in a 1988 paper by Broomhead and Lowe, both researchers at the Royal Signals and Radar Establishment.

单词	RBF network
释义	RBF network 英语百科 Radial basis function network In the field of mathematical modeling, a radial basis function network is an artificial neural network that uses radial basis functions as activation functions. The output of the network is a linear combination of radial basis functions of the inputs and neuron parameters. Radial basis function networks have many uses, including function approximation, time series prediction, classification, and system control. They were first formulated in a 1988 paper by Broomhead and Lowe, both researchers at the Royal Signals and Radar Establishment.
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RBF network

Radial basis function network