| Neural Network Toolbox | |
Derivative of hard limit transfer function
Syntax
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
| | ddotprod | dhardlms | |