rendas asked . 2021-08-04

What is wrong on these code ?

t=load('D:\myexp\RKMS with logfun\2009data.csv');
time = 1:length(t)
n=length(t);

%-------------------------------------------------------------

%-----------------------------------------------------------------

t = tonndata(t,false,false);

%------------------------------------------------------------
% ---------------------------------DESIGN NETWORK
ID=1:2;
HL=20;
net = narnet(ID,HL);
%--------------------------------Training the network
[Xs,Xi,Ai,Ts] = preparets(net,{},{},t);
net = train(net,Xs,Ts,Xi,Ai);

%------------------------------------ SIMULATE NETWORK FOR ORIGINAL SERIES
[Y,Xf,Af] = sim(net,Xs,Xi,Ai);

%-----------------------------

   netc = closeloop(net);
  view(netc)
  % 10 More Steps for the first (now only) input
  X2 = num2cell(rand(1,10));

% Initial input states for closed loop continuation will be the
% first input's final states.
Xi2 = Xf(1,:);

% Initial 2nd layer states for closed loop contination will be the
% processed second input's final states.  Initial 1st layer states
% will be zeros, as they have no delays associated with them.
Ai2 = cell2mat(Xf(2,:));
for i=1:length(net.inputs{1}.processFcns)
  fcn = net.inputs{i}.processFcns{i};
  settings = net.inputs{i}.processSettings{i};
  Ai2 = feval(fcn,'apply',Ai2,settings);
end
Ai2 = mat2cell([zeros(10,2); Ai2],[10 1],ones(1,2));

% Closed loop simulation on X2 continues from open loop state after X.
Y2 = sim(netc,X2,Xi2,Ai2);

matlab , deep learning , programming