??? Error using ==> v51_train_arg6 at 11

	
كد:
	
VV.P must be defined or VV must be [].

Error in ==> network.train at 133
  case 6, [net,tr,Y,E,Xf,Af] =
  v51_train_arg6(net,X,T,Xi,Ai,arg6); return

Error in ==> ANNs at 31
[net,tr]=train(net,ptrn,ttrn,[],[],val);%,test
); 
>>

clear
echo on
%8888888888888888888888888888888888
load('D:\data engine\input.txt');
p=input;
load('D:\data engine\outputemission.txt');
t=outputemission;
%===========================================
%[pn,meanp,stdp,tn,meant,stdt] = prestd(p,t);
%[ptrans,transMat] = prepca(p,0.001);
%[R,Q] = size(ptrans);
%R=3;
%Q=32;
iitst = 2 : 4 : 32;
iival = 4 : 4 : 32;
iitr = [1 : 4 : 32 3 : 4 : 32];
val.p = p(:,iival); val.t = t(:,iival);
test.p = p(:,iitst); test.t = t(:,iitst);
ptr = p(:,iitr); ttr = t(:,iitr);
[ptrn,minp,maxp,ttrn,mint,maxt]=premnmx(ptr,ttr); %normalizes 
[val.pn,minp,maxp,val.tn,mint,maxt]=premnmx(val.p,val.t);
[test.pn,minp,maxp,test.tn,mint,maxt]=premnmx(test.p,test.t);  %normalizes
net = newff(minmax(ptrn),[10 6 5],{'tansig' 'tansig' 'purelin'},'traingdx');
net.trainParam.epochs=10000;
net.trainParam.show=50;
net.trainParam.lr=0.3;
net.trainParam.mc=0.3
net.trainParam.goal=.001;
net.performFcn='mse';
[net,tr]=train(net,ptrn,ttrn,[],[],val);%,test);
plot(tr.epoch,tr.perf,tr.epoch,tr.vperf,tr.epoch,tr.tperf)
legend('Training','Validation','Test',-1);
ylabel('Squared Error'); xlabel('Epoch')
an = sim(net,test.pn);
a = postmnmx(an,mint,maxt);
[m,b,r]=postreg(a,test.t);
for i=1 : 1 : 5
figure(i)
[m(i),b(i),r(i)] = postreg(a(i, : ),test.t(i, : ));
end
m,b,r
err = 100*abs(test.t - a)./test.t;
me = mean(mean(err));