| Neural Network Toolbox | |
Derivative of symmetric saturating linear transfer function
Syntax
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
| | dsatlin | dsse | |