Content deleted Content added
→Network architecture: citeseerx→cite web | Alter: url. URLs might have been anonymized. | Use this tool. Report bugs. | #UCB_Gadget |
Citation bot (talk | contribs) Misc citation tidying. | Use this bot. Report bugs. | #UCB_CommandLine |
||
Line 1:
{{short description|Type of artificial neural network that uses radial basis functions as activation functions}}
In the field of [[mathematical modeling]], a '''radial basis function network''' is an [[artificial neural network]] that uses [[radial basis function]]s as [[activation function]]s. 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]], [[Statistical classification|classification]], and system [[Control theory|control]]. They were first formulated in a 1988 paper by Broomhead and Lowe, both researchers at the [[Royal Signals and Radar Establishment]].<ref>{{cite
|last1 = Broomhead
|first1 = D. S.
| |||