Neural Network Toolbox

netprod

Product net input function

Syntax

N = netprod(Z1,Z2,...,Zn)

df = netprod('deriv')

Description

netprod is a net input function. Net input functions calculate a layer's net input by combining its weighted inputs and biases.

netprod(Z1,Z2,...,Zn) takes,

Zi - S x Q matrices.

and returns an element-wise sum of Zi's.

netprod('deriv') returns netprod's derivative function.

Examples

Here netprod combines two sets of weighted input vectors (which we have defined ourselves).

z1 = [1 2 4;3 4 1];
z2 = [-1 2 2; -5 -6 1];
n = netprod(Z1,Z2)

Here netprod combines the same weighted inputs with a bias vector. Because Z1 and Z2 each contain three concurrent vectors, three concurrent copies of B must be created with concur so that all sizes match up.

b = [0; -1];
n = netprod(z1,z2,concur(b,3))

Network Use

You can create a standard network that uses netprod by calling newpnn or newgrnn.

To change a network so that a layer uses netprod, set net.layers{i}.netInputFcn to 'netprod'.

In either case, call sim to simulate the network with netprod. See newpnn or newgrnn for simulation examples.

See Also

sim, dnetprod, netsum, concur

negdist

netsum