adconverter1.m

两个函数都是用hopfield神经网络实现4位的A/D转换。采用不同的结构得到不同的结果

function ADConverter1()

BitNum = 4;
iNum = 1000;
X = rand(1,iNum)*(2^BitNum);
Y = zeros(1,iNum);
m = zeros(1,BitNum);
for i = 1:BitNum
    m(i) = 2^(i-1);
end

T = zeros(BitNum);
I = zeros(1,BitNum);
for i = 1:BitNum
    for j = 1:BitNum
        if(j~=i)
            T(i,j) = -2^(j+i - 2);
            
        end
        
    end
end
    
E =0;
for k = 1:iNum
    Vs = X(k);
    for i =  1:BitNum
        I(i) = -2^(2*i-3) + 2^(i-1)*Vs;
        %I(i) = 2^(i-1)*Vs;
    end
    V = zeros(1,BitNum);
    V1 = ones(1,BitNum);
    while(~isequal(V1,V))
        V1 = V;
        for i = 1:BitNum
            V(i) = sum(T(i,:) .* V) + I(i);          
            if(V(i) > 0)
                V(i) = 1;
            else 
                V(i) = 0;
            end
            
        end

    end
    
    Y(k) = sum(V.*m);
end
scatter(X,Y,0.001);