随笔分类 -  BI

摘要：//hebbian_learning2.m 1 % Examples 2 % -------- 3 % p1 = [1;1;-1;1]; 4 % t1 = 0; 5 % p2 = [1;-1;1;1]; 6 % t2 = 0; 7 % p3 = [-1;-1;-1;1] 8 % t3 = 1; 9 % w1 = hebbian_learning2(p1,t1,p2,t2,p3,t3)10 % t1 = 0;11 % t2 = 1;12 % t3 = 0;13 % w2 = hebbian_learning2(p1,t1,p2,t2,p3,t3... 阅读全文

摘要：1 % Examples 2 % -------- 3 % p1 = [-1;1;-1]; 4 % t1 = -1; 5 % p2 = [1;1;-1]; 6 % t2 = 1; 7 % w = hebbian_learning(p1,t1,p2,t2) 8 function w = hebbian_learning(p1,t1,p2,t2) 9 % Author：Yao H. Wang10 11 % hebbian_learning Summary of this function goes here12 % Detailed explanation... 阅读全文

摘要：% Examples % -------- % lhs = [-1;1;-1]; % rhs = [1;1;-1]; % [w,b] = perceptron(lhs,rhs) function [w,b] = perceptron(lhs,rhs) % Author：Yao H. Wang % perceptron Summary of this function goes here % Detailed explanation goes here % w为要学习获得的权值。 % b为偏移量。 % flag用来判断两次学习之后权值是否改变，不改变... 阅读全文