Implementing perceptron using while and for
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Hello, so i'm trying to implement a perceptron in Matlab in order to seperate the letters I and O by using a while and a for loop. I run the code but it wont come to an end. Any ideas? 
I've attached the Excel file from where I import my data. In the first column is the number of data, in the second the number of pixels, the third is the variance on the horizontal axis and the final column is the classes, where with 1 is the letter I and with -1 the letter O.
Here's the script i use to call the function and initialize my data:
clear 
clc
data=xlsread("O_I_classification data.xlsx");
x1=data(:,2); %Ορισμός της μεταβλητής X1 
x2=data(:,3); %Ορισμός της μεταβλητής Χ2
arithmos_dedomenwn=data(:,1); %Ως arithmos_dedomenwn ορίζεται η πρώτη στήλη των δεδομένων που περιέχει τον αριθμό των δεδομένων
y=data(:,4); %Ως y ορίζεται η τελευταία στήλη που περιλαμβάνει τις κλάσεις (δεδομένα εξόδου).
[w1,w2,b,counter]= Ask31(x1,x2,y);
And here's the function I've managed to write:
function [w1,w2,b,counter]= Ask31(x1,x2,y)
x_k=[x1,x2];
x_k_ones=[x_k ones(59,1)];
row=size(x_k_ones);
W=rand(3,1)';
counter=0;
for i=1:row
        counter=counter+1;
        z=sum(x_k_ones(i,:).*W);
        y_problepsi=sign(z);
        W(i,1)=W(i,1)+0.7*(y(i,1)-y_problepsi(i,1)).*x_k_ones(i,1);
        while sum(abs(y-y_problepsi))~=0
            delta_w=0.7*(y-y_problepsi).*x_k_ones;
            W=W+delta_w;
            if isequal(y,y_problepsi)
                break
            end
        end
end
      w1=W(1,1);
      w2=W(1,2);
      b=W(1,3);
end
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답변 (1개)
  Geoff Hayes
      
      
 2022년 4월 14일
        @Nick Vasilakis - your while loop looks like
        while sum(abs(y-y_problepsi))~=0
            delta_w=0.7*(y-y_problepsi).*x_k_ones;
            W=W+delta_w;
            if isequal(y,y_problepsi)
                break
            end
        end
yet no where in the code do the values for the condition, y and y_problepsi change. This could be the reason why you are getting stuck in this loop. I recommend reviewing how the W is defined and whether it should be used to update y or y_problepsi.
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