Neural network demos not working Matlab 2017b

Here are the commands I typed:

[x,t] = wine_dataset;
setdemorandstream(391418381)
net = patternnet(10);
view(net)
[net,tr] = train(net,xwine,twine);

at which point I get the error messages:

Index exceeds matrix dimensions.

Error in initnw>initialize_layer (line 168)
       range(inputStart(j):inputStop(j),:) = temp2((inputStart(j):inputStop(j))-inputStart(j)+1,:);

Error in initnw (line 93)
    out1 = initialize_layer(in1,in2);

Error in initlay>initialize_network (line 147)
      net = feval(initFcn,net,i);

Error in initlay (line 89)
    out1 = initialize_network(in1);

Error in network/init (line 32)
  net = feval(initFcn,net);

Error in network/configure (line 243)
net = init(net);

Error in nntraining.config (line 116)
  net = configure(network(net),X,T);

Error in nntraining.setup>setupPerWorker (line 68)
  [net,X,Xi,Ai,T,EW,Q,TS,err] = nntraining.config(net,X,Xi,Ai,T,EW,configNetEnable);

Error in nntraining.setup (line 43)
  [net,data,tr,err] = setupPerWorker(net,trainFcn,X,Xi,Ai,T,EW,enableConfigure);

Error in network/train (line 335)
[net,data,tr,err] = nntraining.setup(net,net.trainFcn,X,Xi,Ai,T,EW,enableConfigure,isComposite);

I get the same errors when I try the other demos as well. Any help is welcome. Thanks.

[Flavio Lorenzelli]

sorry, the first command was: [xwine,twine] = wine_dataset;

Answer 1

[Greg Heath]

 close all, clear all, clc 
 [ x,  t ] = wine_dataset; 
 [ I   N ] = size(x)         % [ 13 178 ]
 [ O   N ] = size(t)         % [   3 178 ]
 MSEref    = mean(var(t',1)) %   0.2109
 setdemorandstream(391418381) 
 [net tr y e ] = train( patternnet, x, t);
 NMSE          = mse(e)/MSEref  %  0.0347

Hope this helps.

Thank you for formally accepting my answer

Greg

PS: If you want to plot, remember the multidimensionality!

[Flavio Lorenzelli]

I am sorry, but after typing your lines exactly I got the following error:

Index exceeds matrix dimensions.

Error in initnw>initialize_layer (line 168)
       range(inputStart(j):inputStop(j),:) = temp2((inputStart(j):inputStop(j))-inputStart(j)+1,:);

Error in initnw (line 93)
    out1 = initialize_layer(in1,in2);

Error in initlay>initialize_network (line 147)
      net = feval(initFcn,net,i);

Error in initlay (line 89)
    out1 = initialize_network(in1);

Error in network/init (line 32)
  net = feval(initFcn,net);

Error in network/configure (line 243)
net = init(net);

Error in nntraining.config (line 116)
  net = configure(network(net),X,T);

Error in nntraining.setup>setupPerWorker (line 68)
  [net,X,Xi,Ai,T,EW,Q,TS,err] = nntraining.config(net,X,Xi,Ai,T,EW,configNetEnable);

Error in nntraining.setup (line 43)
  [net,data,tr,err] = setupPerWorker(net,trainFcn,X,Xi,Ai,T,EW,enableConfigure);

Error in network/train (line 335)
[net,data,tr,err] = nntraining.setup(net,net.trainFcn,X,Xi,Ai,T,EW,enableConfigure,isComposite);

[Walter Roberson]

Try

restoredefaultpath

and then running again. I suspect you might have a conflicting routine on your path.