How to test the external points in Neural Network

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Dear All;
I have built NN model for classification problem but i need to test selected points , i have made the following code to do it but the problem i am facing is that I am getting a consistent results, for example , i select for class 1 , 4 points, class 2 , 3 points .... but when i check the confusion matrix i found different number of points , i do not know if the code below is the right way to do it:
clc; clear; close all; [x1,TXT,RAW]=xlsread('Sh.xlsx','INP'); [t1,TXT2,RAW2]=xlsread('Sh.xlsx','OUT');
x=x1';
t=t1';
size(x) size(t)
net= patternnet (30); % net.divideParam.trainRatio = 70/100; % net.divideParam.valRatio = 15/100; % net.divideParam.testRatio = 15/100; % view(net) net=init(net); [net,tr] = train(net,x,t);
trind=[143 144 264 265 361 362 394 395 431 432 435 436 633 634 664 665 851 852 ]; testX = x(:,trind); testT = t(:,trind);
testY = net(testX); testIndices = vec2ind(testY)
plotconfusion(testT,testY)
  1 个评论
Greg Heath
Greg Heath 2014-12-13
编辑:Greg Heath 2014-12-13
Insufficient info
What are you classifying?
How many classes? ... Are they mutually exclusive?
Input vector dimensionality?
Number of example in each class?
What are external points?...Nontraining data?

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