Neural Network training help

Hi all, I am seeking some help with my matlab code, to recognize my full name when testing the the program.

Every time I run the code, it works fine with no erros but when i click on train from the GUI menu designed, an error shows up says:

Error using plot

Vectors must be the same length.

Error in assi2NN (line 28)

plot(data,target,'*',data,Y,'o'),legend('data','target');

(My data taget and data input files are attached:)

Thanks for any help.

Bellow is my full code:

clear all
clc
close all
warning off
while(true)
   k=menu('ANN','train','test','close')
   if k==1
        
       %%%read the data
       fid=fopen('datain.txt','rt');
       data=fscanf(fid,'%f',[9,inf])
       
        
       %%%read data target
       fid=fopen('datatar.txt','rt');
       target=fscanf(fid,'%f',[1,inf])
       
       whos data target
%%%ANN model
       a=minmax(data);
       net=newff([a],[10 5 1],{'tansig','tansig','tansig'},'trainlm');
        net=init(net);
        %     view(net)
        figure(1)
        Y=sim(net,data);
        plot(data,target,'*',data,Y,'o'),legend('data','target');
        title('Before')
        %%%%%Training param
        net.trainParam.epochs = 500;
        [net,tr]=train(net,data,target);
        Y=sim(net,data);
        figure(2)
        plot(data,target,'*',data,Y,'o'),legend('data','target');
        title('After')
        save net
    end
    
%
    if k==2;
        j=menu('Choose','R','A','K','A','N','T','A','M','E','R','close')
        %
        if j==1
            R = [ 0.1250 0.2500 0.3750 0.6500 1.0000 0 0 0 0 ]';
            load net
            Y=sim(net,R)
            if Y < -0.75
                disp ('This is aplhabet R')
            end
        end
        %
        if j==2
            A = [ 0.1111 0.2222 0.3333 0.4444 0.6667 0.7778 0.8889 1.0000 0]';
            load net
            Y=sim(net,A)
            if Y < -0.25 && Y >= -0.75
                disp ('This is aplhabet A')
            end
        end
        %
        if j==3
            K = [ 0.1111 0.3333 0.4444 0.5556 0.6667 0.7778 1.0000 0 0 ]';
            load net
            Y=sim(net,K)
            if Y > -0.25 && Y <= 0.75
                disp ('This is aplhabet K')
            end
        end
        %
        if j==4
            A = [ 0.1111 0.4444 0.5556 0.6667 0.7778 0.8889 1.0000 0 0 ]';
            load net
            Y=sim(net,A)
            if Y > 0.25 && Y <= 0.75
                disp ('This is aplhabet A')
            end
        end
        %
        if j==5
            N=[ 0.1111 0.3333 0.4444 0.5556 0.6667 0.7778 1.0000 0 0 ]';
            load net
            Y=sim(net,N)
            if Y >= 0.50          
                disp ('This is aplhabet N')
            end
        end
        %
        if j==6
            T = [ 0.1250 0.2500 0.3750 0.6500 1.0000 0 0 0 0 ]';
            load net
            Y=sim(net,T)
            if Y < -0.75
                disp ('This is aplhabet T')
            end
        end
        %
        if j==7
            A = [ 0.1111 0.2222 0.3333 0.4444 0.6667 0.7778 0.8889 1.0000 0]';
            load net
            Y=sim(net,A)
            if Y < -0.25 && Y >= -0.75
                disp ('This is aplhabet A')
            end
        end
        %
        if j==8
            M = [ 0.1111 0.3333 0.4444 0.5556 0.6667 0.7778 1.0000 0 0 ]';
            load net
            Y=sim(net,M)
            if Y > -0.25 && Y <= 0.75
                disp ('This is aplhabet M')
            end
        end
        %
        if j==9
            E = [ 0.1111 0.4444 0.5556 0.6667 0.7778 0.8889 1.0000 0 0 ]';
            load net
            Y=sim(net,E)
            if Y > 0.25 && Y <= 0.75
                disp ('This is aplhabet E')
            end
        end
        %
        if j==10
            R=[ 0.1111 0.3333 0.4444 0.5556 0.6667 0.7778 1.0000 0 0 ]';
            load net
            Y=sim(net,R)
            if Y >= 0.50          
                disp ('This is aplhabet R')
            end
        end
    end
    %
    if k==3
        break;
    end
end