netinv :: Functions (Neural Network Toolbox™)

netinv

Purpose

Inverse transfer function

Syntax

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

Description

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

netinv(N,FP) takes inputs

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

FP
Structure of function parameters (ignored)

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

and returns 1/N.

netinv('dn',N,A,FP) returns the 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.

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

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

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

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

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

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

Examples

Here you define 10 five-element net input vectors N and calculate A.

```
n = rand(5,10);
a = netinv(n);
```

Assign this transfer function to layer i of a network.

```
net.layers{i}.transferFcn = 'netinv';
```

Purpose

Syntax

Description

Examples

See Also

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