Log-sigmoid transfer function
A = logsig(N,FP)
dA_dN = logsig('dn',N,A,FP)
info = logsig('code
')
logsig
is a transfer function. Transfer functions calculate a layer’s
output from its net input.
A = logsig(N,FP)
takes N
and optional function
parameters,
N |
|
FP | Struct of function parameters (ignored) |
and returns A
, the S
-by-Q
matrix
of N
’s elements squashed into [0, 1]
.
dA_dN = logsig('dn',N,A,FP)
returns the
S
-by-Q
derivative of A
with respect to
N
. If A
or FP
is not supplied or is
set to []
, FP
reverts to the default parameters, and
A
is calculated from N
.
info = logsig('
returns useful
information for each code
')code
character vector:
logsig('name')
returns the name of this function.
logsig('output',FP)
returns the [min max]
output
range.
logsig('active',FP)
returns the [min max]
active
input range.
logsig('fullderiv')
returns 1 or 0, depending on whether
dA_dN
is
S
-by-S
-by-Q
or
S
-by-Q
.
logsig('fpnames')
returns the names of the function parameters.
logsig('fpdefaults')
returns the default function parameters.
Here is the code to create a plot of the logsig
transfer
function.
n = -5:0.1:5; a = logsig(n); plot(n,a)
Assign this transfer function to layer i
of a network.
net.layers{i}.transferFcn = 'logsig';
logsig(n) = 1 / (1 + exp(-n))