settimesteps

(To be removed) Set neural network data timesteps

settimesteps will be removed in a future release. For more information, see Transition Legacy Neural Network Code to dlnetwork Workflows.

For advice on updating your code, see Version History.

Syntax

settimesteps(x,i,v)


Description

settimesteps(x,i,v) takes these arguments,

x	Neural network matrix or cell array data
i	Indices
v	Neural network data to store into x

and returns the original data x with the data v stored in the timesteps indicated by the indices i.

Examples

This code sets timestep 2 of cell array data:

x = {[1:3; 4:6] [7:9; 10:12]; [13:15] [16:18]}
v = {[20:22; 23:25]; [25:27]}
y = settimesteps(x,2,v)

Version History

Introduced in R2010b

R2026a: settimesteps will be removed

settimesteps will be removed in a future release.

To train a neural network with time series data, use one of these options:

• Time Series Modeler app — Interactively design and train neural networks for time series data.

• trainnet — Train neural network. Use this function when you need more flexibility in the network architecture or training algorithm.

To learn more about time series data workflows, see these examples and topics:

• Training Neural Networks with Time Series Data

• Time Series Forecasting Using Deep Learning

• Create and Train NARX Network for Time Series Forecasting

• Long Short-Term Memory Neural Networks

• Example Deep Learning Network Architectures

For more information, see Transition Legacy Neural Network Code to dlnetwork Workflows.