satlins :: Functions (Neural Network Toolbox™)

satlins

Purpose

Symmetric saturating linear transfer function

Graph and Symbol

Syntax

A = satlins(N,FP)
dA_dN = satlins('dn',N,A,FP)
info = satlins(code)

Description

satlins is a neural transfer function. Transfer functions calculate a layer's output from its net input.

satlins(N,FP) takes N and an optional argument,

N
S x Q matrix of net input (column) vectors

FP
Struct of function parameters (optional, ignored)

`N`	`S` x `Q` matrix of net input (column) vectors
`FP`	Struct of function parameters (optional, ignored)

and returns A, the S x Q matrix of N's elements clipped to [-1, 1].

satlins('dn',N,A,FP) returns the S x Q derivative of A with respect to N. If A or FP is not supplied or is set to [], FP reverts to the default parameters, and A is calculated from N.

satlins('name') returns the name of this function.

satlins('output',FP) returns the [min max] output range.

satlins('active',FP) returns the [min max] active input range.

satlins('fullderiv') returns 1 or 0, depending on whether dA_dN is S x S x Q or S x Q.

satlins('fpnames') returns the names of the function parameters.

satlins('fpdefaults') returns the default function parameters.

Examples

Here is the code to create a plot of the satlins transfer function.

n = -5:0.1:5;
a = satlins(n);
plot(n,a)

Algorithm

satlins(n) = -1, if n <= -1
              n, if -1 <= n <= 1
              1, if 1 <= n