Layer recurrent neural network
layrecnet(
takes these arguments:layerDelays
,hiddenSizes
,trainFcn
)
Row vector of increasing 0 or positive delays, layerDelays
Row vector of one or more hidden layer sizes, hiddenSizes
Backpropagation training function, trainFcn
and returns a layer recurrent neural network.
Layer recurrent neural networks are similar to feedforward networks, except that each
layer has a recurrent connection with a tap delay associated with it. This allows the network
to have an infinite dynamic response to time series input data. This network is similar to the
time delay (timedelaynet
) and distributed delay (distdelaynet
) neural networks, which have finite input responses.
distdelaynet
| narnet
| narxnet
| preparets
| removedelay
| timedelaynet