Hebbian学习规则 2神经元 简单实现

%   Examples
%   --------
%   p1 = [1;1;-1;1];
%   t1 = 0;
%   p2 = [1;-1;1;1];
%   t2 = 0;
%   p3 = [-1;-1;-1;1]
%   t3 = 1;
%   w1 = hebbian_learning2(p1,t1,p2,t2,p3,t3)
%   t1 = 0;
%   t2 = 1;
%   t3 = 0;
%   w2 = hebbian_learning2(p1,t1,p2,t2,p3,t3)
function w = hebbian_learning2(p1,t1,p2,t2,p3,t3)
%   Author：Yao H. Wang

%   hebbian_learning2 Summary of this function goes here
%   Detailed explanation goes here
%   w = TN。
%   其中T为t1,t2，t3即targets组成的矩阵。
%   N，当P的逆矩阵存在的时候为P的逆矩阵，否则为P的伪逆。
P = [p1';p2';p3']';
T = [t1,t2,t3];
[row,col] = size(P);
r = rank(P);
if (row == col) && (r==row)
N = inv(P);
else
N = (inv(P'*P))*P';
end
w = T*N;

end

%   Examples
%   --------
%   p4 = [1;-1;1;-1];
%   result = hebbian_learning2test(w1,w2,p4)
function result = hebbian_learning2test(w1,w2,p)
%   Author：Yao H. Wang

%   hebbian_learning2test Summary of this function goes here
%   Detailed explanation goes here
r1 = w1*p;
if r1<=0
r1 = 0;
else
r1 = 1;
end
r2 = w2*p;
if r2<=0
r2 = 0;
else
r2 = 1;
end
result = [r1,r2];
end