Hi... I am doing my mtech project on localization in underwater sensor network using neural network . I have matlab code for localization but i do not know how it would be implemented in neural network.could you please help me?

clear;
close all; 
BorderLength=100; 
NodeAmount=100; 
BeaconAmount=10; 
UNAmount=NodeAmount-BeaconAmount; 
R=50; 
% D=zeros(NodeAmount,NodeAmount);
h=zeros(NodeAmount,NodeAmount);
X=zeros(2,UNAmount);
C=BorderLength.*rand(2,NodeAmount);  
Sxy=[[1:NodeAmount];C]; 
Beacon=[Sxy(2,1:BeaconAmount);Sxy(3,1:BeaconAmount)];
UN=[Sxy(2,(BeaconAmount+1):NodeAmount);Sxy(3,(BeaconAmount+1):NodeAmount)];
plot(Sxy(2,1:BeaconAmount),Sxy(3,1:BeaconAmount),'r*',Sxy(2,(BeaconAmount+1):NodeAmount),Sxy(3,(BeaconAmount+1):NodeAmount),'k.') 
xlim([0,BorderLength]); 
ylim([0,BorderLength]); 
title('sensornodes') ;
xlabel('width of areas');
ylabel('length of areas');
for i=1:NodeAmount 
    for j=1:NodeAmount 
        Dall(i,j)=((Sxy(2,i)-Sxy(2,j))^2+(Sxy(3,i)-Sxy(3,j))^2)^0.5; 
        if (Dall(i,j)<=R)&&(Dall(i,j)>0) 
            h(i,j)=1; 
        elseif i==j 
            h(i,j)=0; 
        else h(i,j)=inf; 
        end 
    end 
end 

for k=1:NodeAmount 
    for i=1:NodeAmount 
        for j=1:NodeAmount 
            if h(i,k)+h(k,j)<h(i,j)
                %min(h(i,j),h(i,k)+h(k,j)) 
                h(i,j)=h(i,k)+h(k,j); 
            end 
        end 
    end 
end 

h1=h(1:BeaconAmount,1:BeaconAmount);  
D1=Dall(1:BeaconAmount,1:BeaconAmount); 
for i=1:BeaconAmount 
    dhop(i,1)=sum(D1(i,:))/sum(h1(i,:));
end 
D2=Dall(1:BeaconAmount,(BeaconAmount+1):NodeAmount);
for i=1:BeaconAmount 
    for j=1:UNAmount 
        if min(D2(:,j))==D2(i,j) 
            Dhop(1,j)=D2(i,j); 
        end 
    end 
end 
Dhop; 
hop1=h(1:BeaconAmount,(BeaconAmount+1):NodeAmount);%
for i=1:UNAmount 
    hop=Dhop(1,i);
    Distance(:,i)=hop*hop1(:,i); 
end 
d=Distance; 
for i=1:2 
    for j=1:(BeaconAmount-1) 
      a(i,j)=Beacon(i,j)-Beacon(i,BeaconAmount); 
    end 
end 
A=-2*(a'); 
% d=d1'; 
 for m=1:UNAmount  
     for i=1:(BeaconAmount-1) 
         B(i,1)=d(i,m)^2-d(BeaconAmount,m)^2-Beacon(1,i)^2+Beacon(1,BeaconAmount)^2-Beacon(2,i)^2+Beacon(2,BeaconAmount)^2; 
     end 
           X1=inv(A'*A)*A'*B; 
           X(1,m)=X1(1,1); 
           X(2,m)=X1(2,1); 
 end 

   for i=1:UNAmount 
       error(1,i)=(((X(1,i)-UN(1,i))^2+(X(2,i)-UN(2,i))^2)^0.5); 
   end 
   figure;plot(error,'o') 
   title('Localization error') 
   xlim([0,BorderLength]); 
   ylim([0,BorderLength]); 
   xlabel('width of areas');
   ylabel('length of areas');
   error=sum(error)/UNAmount 
   Accuracy=error/R;

[Greg Heath]

1. Please format. The above box with [ {} Code ] can help.

2. Please explain the inputs and outputs of your net and what you understand to be

 "the concept of localization"

Right now, I don't understand.

[Greg Heath]

There is still a block that needs to be formatted.

[shafeena]

anyone please correct this code in neural network

[Greg Heath]

I doubt if anyone will consider your code because

1. It is not formatted
2. It has more than 1 statement per line
3. It has no explanatory comments
4. It Will not run when cut and pasted
5. It has unnecessarily long variable names (try BA, NA, UNA, BL,...)
6. There is no info about what has happened when you have tried to run it (e.g., erroneous results? error messages?)

[Greg Heath]

Now that Walter has been kind enough to format it, will you address the other items listed above?

Greg