problem train in anfis network

i am doing face recogntion using anfis. i already train the network but its doesnt follow the target.I already put 1000 epoch and 20 mf to train the network but still not to target. my code is:

     input=[trainData(:)];
     data=[input target];
     init_fis = genfis1(data);
     anfis_net1=anfis(data,20, [1000,0,0.01,1.1,1.1],[1,1,1,1]);
     anfis_eval1=evalfis(input,anfis_net1);
     comp1=[target anfis_eval1]

input and target that i got are:

 comp1=
    1.0000    0.2379
         0   -0.1536
         0    0.3950
         0    0.2237
         0    0.3400
         0    0.2628
    1.0000    0.3671
         0    0.5821
         0    0.3832
         0    0.4688
         0    0.3510
         0    0.2667
    1.0000    0.2301
         0   -0.1526
         0    0.3949
         0    0.2195
         0    0.5111
         0    0.2725
    1.0000    0.3208
         0    0.6746
         0    0.4190
         0    0.6348
         0    0.5834
         0    0.2862
    1.0000    0.2605
         0    0.4826
         0    0.4048
         0    0.2038
         0    0.4601
         0    0.2187

There are 840 input and just some of it is nearer with the target. But when I put the target 1.000, all predicted value is equal to the target. Parameters that can be change are mf and epoch only. I already try until 3000 epoch but still not the same with the target. Can somebody suggest to me what should I do.

Answer 1

[Ahmed]

My dear I think you can try the following:

1. Triangular MF;
2. Zero order Sugeno model instead of first order Sugeno;
3. initial step-size;
4. step-size decrease rate;
5. step-size increase rate;

Hope this will help you