Neural Network Toolbox

dotprod

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.

See Also

sim, ddotprod, dist, negdist, normprod

dnetsum

dposlin

© 1994-2005 The MathWorks, Inc.