Derivative of hard limit transfer function
Syntax
dA_dN = dhardlim(N,A)
Description
dhardlim
is the derivative function for hardlim
.
dhardlim(N,A)
takes two arguments,
N - S
x Q
net input.
A - S
x Q
output.
and returns the S
x Q
derivative dA/dN.
Examples
Here we define the net input N
for a layer of 3 hardlim
neurons.
N = [0.1; 0.8; -0.7];
We calculate the layer's output A
with hardlim
and then the derivative of A
with respect to N
.
A = hardlim
(N)
dA_dN = dhardlim
(N,A)
Algorithm
The derivative of hardlim
is calculated as follows:
d = 0
See Also
hardlim
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