dotprod (Neural Network Toolbox)

Neural Network Toolbox

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dotprod

Examples See Also

Dot product weight function

Syntax

Z = dotprod(W,P)

df = dotprod('deriv')

Description

dotprod is the dot product weight function. Weight functions apply weights to an input to get weighted inputs.

dotprod(W,P) takes these inputs,

W - S x R weight matrix.

P - R x Q matrix of Q input (column) vectors.

and returns the S x Q dot product of W and P.

Examples

Here we define a random weight matrix W and input vector P and calculate the corresponding weighted input Z.

W = rand(4,3);
P = rand(3,1);
Z = dotprod(W,P)

Network Use

You can create a standard network that uses dotprod by calling newp or newlin.

To change a network so an input weight uses dotprod, set net.inputWeight{i,j}.weightFcn to 'dotprod'. For a layer weight, set net.inputWeight{i,j}.weightFcn to 'dotprod'.

In either case, call sim to simulate the network with dotprod.

See newp and newlin for simulation examples.