nndata

Create neural network data

Syntax

nndata(N,Q,TS,v)

Description

nndata(N,Q,TS,v) takes these arguments,

N

Vector of M element sizes

Q

Number of samples

TS

Number of timesteps

v

Scalar value

and returns an M-by-TS cell array where each row i has N(i)-by-Q sized matrices of value v. If v is not specified, random values are returned.

You can access subsets of neural network data with getelements, getsamples, gettimesteps, and getsignals.

You can set subsets of neural network data with setelements, setsamples, settimesteps, and setsignals.

You can concatenate subsets of neural network data with catelements, catsamples, cattimesteps, and catsignals.

Examples

Here four samples of five timesteps, for a 2-element signal consisting of zero values is created:

x = nndata(2,4,5,0)

To create random data with the same dimensions:

x = nndata(2,4,5)

Here static (1 timestep) data of 12 samples of 4 elements is created.

x = nndata(4,12)

Introduced in R2010b