dhardlms (Neural Network Toolbox)

Derivative of symmetric hard limit transfer function

dA_dN = dhardlms(N,A)

dhardlms is the derivative function for hardlims.

dhardlms(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 hardlims neurons.

N = [0.1; 0.8; -0.7];

We calculate the layer's output A with hardlims and then the derivative of A with respect to N.

A = hardlims(N)
dA_dN = dhardlms(N,A)

The derivative of hardlims is calculated as follows:

d = 0