Linear transfer function

A = purelin(N,FP)
info = purelin('code')
purelin is a neural transfer function. Transfer functions calculate a
layer’s output from its net input.
A = purelin(N,FP) takes N and optional function
parameters,
N |
|
FP | Struct of function parameters (ignored) |
and returns A, an S-by-Q matrix
equal to N.
info = purelin(' returns useful
information for each supported code')code character vector:
purelin('name') returns the name of this function.
purelin('output',FP) returns the [min max] output
range.
purelin('active',FP) returns the [min max] active
input range.
purelin('fullderiv') returns 1 or 0, depending on whether
dA_dN is
S-by-S-by-Q or
S-by-Q.
purelin('fpnames') returns the names of the function parameters.
purelin('fpdefaults') returns the default function parameters.
Here is the code to create a plot of the purelin transfer
function.
n = -5:0.1:5; a = purelin(n); plot(n,a)
Assign this transfer function to layer i of a network.
net.layers{i}.transferFcn = 'purelin';
a = purelin(n) = n