Shape recognition by neural network

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Pawel Osadnik
Pawel Osadnik 2018-6-2
编辑： Pawel Osadnik 2018-6-5
Hello, I would like to ask which Neural Network should I choose. I want to recognition of 3 shape (Square,Circle,Triangle).
I learn my NN with 69 patterns (23 image of Square, 23 Circle etc). First network was "newp" and the second "newff". I have some answers but my network recognition e.g Triangle as Square and Circle or something like this. Any ideas ? Thank !
% PATTERNS
load PatternsSquare
load PatternsCircle
load PatternsTriangle
% SHAPE Square
P1=cell2mat(struct2cell(PatternsSquare));
PS=reshape(P1,40000,23);
% SHAPE Circle
P2=cell2mat(struct2cell(PatternsCircle));
PO=reshape(P1,40000,23);
% SHAPE Triangel
P3=cell2mat(struct2cell(PatternsTriangle));
PT=reshape(P1,40000,23);
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
NETWORK
P=[PS,PO,PT]; %MATRIX WITH ALL MY PATTERN
T=eye(3,69); %NETWORK ANSWER
%net = newp(P,T,'hardlim','learnp');
net=newff(P,T,[10 10],{'tansig' 'purelin'},'traingd');
net.trainParam.epochs = 50;
net.trainParam.goal=0.00001;
net = train(net,P,T);
Y=sim(net,P);
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
DISRUPTION
D=imread('T14.png'); % MY DISRUPTION PATTERN
D=im2bw(D);
D=double(D);
[m n] = size(D) ;
D = imresize(D, [200 200]);
[x y] = size(D);
PD=reshape(D,40000,1);
YD=sim(net,PD);
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%%%% DISPLAY
figure(1)
for i=1:1
subplot(1,2,i)
imshow(reshape(PD(:,i),200,200))
title('DISRUPTION')
subplot(1,2,2*i)
hintonw(YD(:,i))
title('NEURON: 1-Square, 2-Circle, 3-Triangle')
end

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采纳的回答

Greg Heath
Greg Heath 2018-6-2
1.You have erroneouslyy defined PO and PT with P1
2. I think the argument in reshape should be (Pm,23,40000)
3. You have 2 hidden layers. One is sufficient.
4. I didn't look at Disruption and Display
Hope this helps.
Greg
  1 个评论
Pawel Osadnik
Pawel Osadnik 2018-6-5
编辑：Pawel Osadnik 2018-6-5
After when I change argument in reshape matrix occur an error:
Error using network/train (line 340)
Inputs and targets have different numbers of samples.
Error in SSN (line 26)
net = train(net,P,T);
My input data are 23 elements of 17.500 sampels (image piksel). And the data to chceck (DISRUPTION) are 1 of 17.500 and it's different.
It doesn't work.

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