Neural Network Toolbox

dhardlms

Derivative of symmetric hard limit transfer function

Syntax

dA_dN = dhardlms(N,A)

Description

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)
  

Algorithm

The derivative of hardlims is calculated as follows:

• d = 0
  

See Also

hardlims

dhardlim

disp