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