con2seq :: Functions (Neural Network Toolbox™)

con2seq

Purpose

Convert concurrent vectors to sequential vectors

Syntax

```
s = con2seq(b)
```

Description

The Neural Network Toolbox™ software arranges concurrent vectors with a matrix, and sequential vectors with a cell array (where the second index is the time step).

con2seq and seq2con allow concurrent vectors to be converted to sequential vectors, and back again.

con2seq(b) takes one input,

b
R x TS matrix

`b`	`R` x `TS` matrix

and returns one output,

S
1 x TS cell array of R x 1 vectors

`S`	`1` x `TS` cell array of `R` x `1` vectors

con2seq(b,TS) can also convert multiple batches,

b
N x 1 cell array of matrices with M*TS columns

TS
Time steps

`b`	`N` x `1` cell array of matrices with `M`*`TS` columns
`TS`	Time steps

and returns

S
N x TS cell array of matrices with M columns

`S`	`N` x `TS` cell array of matrices with `M` columns

Examples

Here a batch of three values is converted to a sequence.

```
p1 = [1 4 2]
p2 = con2seq(p1)
```

Here two batches of vectors are converted to two sequences with two time steps.

p1 = {[1 3 4 5; 1 1 7 4]; [7 3 4 4; 6 9 4 1]}
p2 = con2seq(p1,2)

Purpose

Syntax

Description

Examples

See Also

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