This is machine translation

Translated by Microsoft
Mouseover text to see original. Click the button below to return to the English verison of the page.

Note: This page has been translated by MathWorks. Please click here
To view all translated materals including this page, select Japan from the country navigator on the bottom of this page.


Normalized dot product weight function


Z = normprod(W,P,FP)
dim = normprod('size',S,R,FP)
dw = normprod('dz_dw',W,P,Z,FP)


normprod is a weight function. Weight functions apply weights to an input to get weighted inputs.

Z = normprod(W,P,FP) takes these inputs,


S-by-R weight matrix


R-by-Q matrix of Q input (column) vectors


Row cell array of function parameters (optional, ignored)

and returns the S-by-Q matrix of normalized dot products.

dim = normprod('size',S,R,FP) takes the layer dimension S, input dimension R, and function parameters, and returns the weight size [S-by-R].

dw = normprod('dz_dw',W,P,Z,FP) returns the derivative of Z with respect to W.


Here you 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 = normprod(W,P)

Network Use

You can create a standard network that uses normprod by calling newgrnn.

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

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


normprod returns the dot product normalized by the sum of the input vector elements.

z = w*p/sum(p)

See Also

Introduced before R2006a

Was this topic helpful?