代码搜索：感知无线电
找到约 539 项符合「感知无线电」的源代码
代码结果 539
www.eeworm.com/read/164015/10135186
m percept1.m
%多个感知器神经元的分类问题
%四类输入向量
P=[0.1 0.7 0.8 0.8 1.0 0.3 0.0 -0.3 -0.5 -1.5;
1.2 1.8 1.6 0.6 0.8 0.5 0.2 0.8 -1.5 -1.3];
T=[1 1 1 0 0 1 1 1 0 0;
0 0 0 0 0 1 1 1 1 1];
net=newp([-2.5 2;-2.5 2],2);
www.eeworm.com/read/163198/10171255
m test2-5.m
p = [0 0 1 1; 0 1 0 1];
t = [0 0 0 1];
%绘制输入向量和目标向量
plotpv(p,t)
%创建一个感知器网络
net = newp(minmax(p),1);
%设定权值
net.iw{1,1} = [-1.2 -0.5];
%设定阈值
net.b{1} = 1;
plotpc(net.iw{1,1},net.b{1})
www.eeworm.com/read/425476/10351875
m 2-5.m
p = [0 0 1 1; 0 1 0 1];
t = [0 0 0 1];
%绘制输入向量和目标向量
plotpv(p,t)
%创建一个感知器网络
net = newp(minmax(p),1);
%设定权值
net.iw{1,1} = [-1.2 -0.5];
%设定阈值
net.b{1} = 1;
plotpc(net.iw{1,1},net.b{1})
www.eeworm.com/read/354019/10396351
m newp11.m
%%感知器算法实现逻辑与
W0=zeros(1,3);x=zeros(4,3);%x 为增广矩阵
x(1,:)=[0 0 1];
x(2,:)=[0 1 1];
x(3,:)=[1 0 1];
x(4,:)=[-1 -1 -1];
N=4;
Gx=0;Gx=zeros(1,3);
M=0;
W=zeros(5,3);
while (1)
W(1,:)=W0;
www.eeworm.com/read/160693/10506084
m 2-5.m
p = [0 0 1 1; 0 1 0 1];
t = [0 0 0 1];
%绘制输入向量和目标向量
plotpv(p,t)
%创建一个感知器网络
net = newp(minmax(p),1);
%设定权值
net.iw{1,1} = [-1.2 -0.5];
%设定阈值
net.b{1} = 1;
plotpc(net.iw{1,1},net.b{1})
www.eeworm.com/read/420834/10771700
m 2-5.m
p = [0 0 1 1; 0 1 0 1];
t = [0 0 0 1];
%绘制输入向量和目标向量
plotpv(p,t)
%创建一个感知器网络
net = newp(minmax(p),1);
%设定权值
net.iw{1,1} = [-1.2 -0.5];
%设定阈值
net.b{1} = 1;
plotpc(net.iw{1,1},net.b{1})
www.eeworm.com/read/465040/7064713
m 2-5.m
p = [0 0 1 1; 0 1 0 1];
t = [0 0 0 1];
%绘制输入向量和目标向量
plotpv(p,t)
%创建一个感知器网络
net = newp(minmax(p),1);
%设定权值
net.iw{1,1} = [-1.2 -0.5];
%设定阈值
net.b{1} = 1;
plotpc(net.iw{1,1},net.b{1})
www.eeworm.com/read/440865/7679783
m 2-5.m
p = [0 0 1 1; 0 1 0 1];
t = [0 0 0 1];
%绘制输入向量和目标向量
plotpv(p,t)
%创建一个感知器网络
net = newp(minmax(p),1);
%设定权值
net.iw{1,1} = [-1.2 -0.5];
%设定阈值
net.b{1} = 1;
plotpc(net.iw{1,1},net.b{1})
www.eeworm.com/read/437650/7744301
m 2-5.m
p = [0 0 1 1; 0 1 0 1];
t = [0 0 0 1];
%绘制输入向量和目标向量
plotpv(p,t)
%创建一个感知器网络
net = newp(minmax(p),1);
%设定权值
net.iw{1,1} = [-1.2 -0.5];
%设定阈值
net.b{1} = 1;
plotpc(net.iw{1,1},net.b{1})
www.eeworm.com/read/196537/8076839
m 2-5.m
p = [0 0 1 1; 0 1 0 1];
t = [0 0 0 1];
%绘制输入向量和目标向量
plotpv(p,t)
%创建一个感知器网络
net = newp(minmax(p),1);
%设定权值
net.iw{1,1} = [-1.2 -0.5];
%设定阈值
net.b{1} = 1;
plotpc(net.iw{1,1},net.b{1})