radbas

(To be removed) Radial basis transfer function

radbas will be removed in a future release. For more information, see Transition Legacy Neural Network Code to dlnetwork Workflows.

For advice on updating your code, see Version History.

Graph and Symbol

Syntax

A = radbas(N,FP)


Description

radbas is a neural transfer function. Transfer functions calculate a layer’s output from its net input.

A = radbas(N,FP) takes one or two inputs,

N	S-by-Q matrix of net input (column) vectors
FP	Struct of function parameters (ignored)

and returns A, an S-by-Q matrix of the radial basis function applied to each element of N.

Examples

Here you create a plot of the radbas transfer function.

n = -5:0.1:5;
a = radbas(n);
plot(n,a)

Assign this transfer function to layer i of a network.

net.layers{i}.transferFcn = 'radbas';

Algorithms

a = radbas(n) = exp(-n^2)

Version History

Introduced before R2006a

R2026a: radbas will be removed

radbas will be removed in a future release.

To learn more about using activation and transfer functions in neural networks, see these examples and topics:

• Build Networks with Deep Network Designer

• List of Deep Learning Layers

• List of Functions with dlarray Support

• Compare Activation Layers

• Example Deep Learning Network Architectures

For more information, see Transition Legacy Neural Network Code to dlnetwork Workflows.