Neural Network Toolbox

dsatlins

Derivative of symmetric saturating linear transfer function

Syntax

dA_dN = dsatlins(N,A)

Description

dsatlins is the derivative function for satlins.

dsatlins(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 satlins neurons.

• N = [0.1; 0.8; -0.7];
  

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

• A = satlins(N)
  dA_dN = dsatlins(N,A)
  

Algorithm

The derivative of satlins is calculated as follows:

• d = 1, if -1 <= n <= 1; 0, otherwise.

See Also

satlins

dsatlin

dsse

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