An elman neural network with mulltiple inputs
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Hi,
I am trying to code an elman neural network with 2 inputs, and one output (size 1).
The size of the first input is 3 - a time delayed signal with 3 historical values
The size of the second input is 2 .
X = Time_Delayed_Input_Signal; % 1 x 100
Z = Input_vector; % 2 x 100
T = Target_Values; % 1 x 100
delays = 3;
net = elmannet(1:2,10);
net = adddelay(net,delays);
net.numinputs = 2;
net.inputConnect = [1 1; 0 0];
net = configure(net,{X;X});
net.inputs{1}.size = delays;
net.inputs{2}.size = 2;
view(net)
[Xs,Xi,Ai] = preparets(net,{X;Z},T) % this is where things go wrong
Y = net(Xs,Xi,Ai);
As always, thanks for any help
Sincerely,
Septimus
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Antworten (1)
Mahesh Taparia
am 24 Mär. 2020
Hi
You can use the elmannet as folllows:
net = elmannet(1:3,10); %%% NumDelays=3
[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,Ts,Y)
Hope it will help.
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