Neural Network: fill missing data in time series

I'm trying to use neural network to fill in missing data values in a time series of methane fluxes. I've used an input series with 6 parameters to train the network with the non-missing flux data. I then want to use the network to find the values of the missing flux data, for which I have input data for the original 6 parameters used to train the network. I'm getting an error message saying the 'Number of inputs does not match net.numInputs' which is confusing because both the original and new input data 6 parameters. Here is the section of code I am using:

% set up the data

x = tonndata(input1,false,false);

x2 = tonndata(input2,false,false);

t = tonndata(target1,false,false);

t2=tonndata(target2,false,false);

% design network

net = narxnet;

[X,Xi,Ai,T] = preparets(net,x,{},t);

net = train(net,X,T,Xi,Ai);

% view(net)

% Simulate network

[Y,Xf,Af] = sim(net,X,Xi,Ai);

% Closed Loop Network

netc = closeloop(net,Xf,Af);

% view(netc)

%setting up the second set of input data

[X2,Xi2,Ai2,T2] = preparets(net,x2,{},t2);

[y2,xf,af] = netc(X2,Xi2,Ai2);

Answer 1

[Greg Heath]

Not clear if X2 follows X or it is replacing X

Assuming the latter

[Xo2,Xoi2,Aoi2,To2] = preparets(neto,X2,{},T2);

[Y2,Xf,Af] = netc(Xo2,Xoi2,Aoi2);

ERROR CANNOT USE SUSCRIPTED "O" VARIABLES WITH NETC.

Hope this helps,

Thank you for formally accepting my answer

Greg

Answer 2

[Greg Heath]

Use netc in the next to last (preparets) statement .

Hope this helps.

Thank you for formally accepting my answer

Greg