tapdelay

(To be removed) Shift neural network time series data for tap delay

tapdelay 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

tapdelay(x,i,ts,delays)

tapdelay(x,i,ts,delays) takes these arguments,

`x`	Neural network time series data
`i`	Signal index
`ts`	Timestep index
`delays`	Row vector of increasing zero or positive delays

and returns the tap delay values of signal i at timestep ts given the specified tap delays.

Here a random signal x consisting of eight timesteps is defined, and a tap delay with delays of [0 1 4] is simulated at timestep 6.

x = num2cell(rand(1,8));
y = tapdelay(x,1,6,[0 1 4])

Introduced in R2010b

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tapdelay 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: