distdelaynet
Distributed delay network
Syntax
distdelaynet(delays,hiddenSizes,trainFcn)
Description
Distributed delay networks are similar to feedforward networks, except that each input and
layer weights has a tap delay line associated with it. This allows the network to have a finite
dynamic response to time series input data. This network is also similar to the time delay
neural network (timedelaynet), which only has delays on the input
weight.
distdelaynet(delays,hiddenSizes,trainFcn) takes these arguments,
delays | Row vector of increasing 0 or positive delays (default = 1:2) |
hiddenSizes | Row vector of one or more hidden layer sizes (default = 10) |
trainFcn | Training function (default = |
and returns a distributed delay neural network.
Examples
Distributed Delay Network
Here a distributed delay neural network is used to solve a simple time series problem.
[X,T] = simpleseries_dataset;
net = distdelaynet({1:2,1:2},10);
[Xs,Xi,Ai,Ts] = preparets(net,X,T);
net = train(net,Xs,Ts,Xi,Ai);
view(net)
Y = net(Xs,Xi,Ai);
perf = perform(net,Y,Ts)
perf =
0.0323
See Also
narnet | narxnet | preparets | removedelay | timedelaynet