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/458899/7285949
m 1.m
%输入样本点及其相应的类别
P = [-0.5 -0.5 0.3 -0.1 0.2 0.0 0.6 0.8;
-0.5 0.5 -0.5 1.0 0.5 -0.9 0.8 -0.6];
T = [1 1 0 1 1 0 1 0 ];
%在坐标图上绘出样本点
plotpv(P,T);
%建立一个感知器网络
net=newp([-1 1;
www.eeworm.com/read/332284/12764915
m main.m
% ================main======================
clear,clc,close all;
v=input(['请选择演示程序：\n 0 退出\n 1 Fisher法\n 2 感知器准则\n',...
' 3 最小二乘准则\n 4 快速近邻法\n 5 剪辑近邻法与压缩近邻法\n',...
' 6 二叉决策树\n 7
www.eeworm.com/read/141621/12994124
m example4_1.m
%输入样本点及其相应的类别
P = [-0.5 -0.5 0.3 -0.1 0.2 0.0 0.6 0.8;
-0.5 0.5 -0.5 1.0 0.5 -0.9 0.8 -0.6];
T = [1 1 0 1 1 0 1 0 ];
%在坐标图上绘出样本点
plotpv(P,T);
%建立一个感知器网络
net=newp([-1 1;
www.eeworm.com/read/490970/6446792
m example4_1.m
%输入样本点及其相应的类别
P = [-0.5 -0.5 0.3 -0.1 0.2 0.0 0.6 0.8;
-0.5 0.5 -0.5 1.0 0.5 -0.9 0.8 -0.6];
T = [1 1 0 1 1 0 1 0 ];
%在坐标图上绘出样本点
plotpv(P,T);
%建立一个感知器网络
net=newp([-1 1;
www.eeworm.com/read/261997/11611749
m example4_1.m
%输入样本点及其相应的类别
P = [-0.5 -0.5 0.3 -0.1 0.2 0.0 0.6 0.8;
-0.5 0.5 -0.5 1.0 0.5 -0.9 0.8 -0.6];
T = [1 1 0 1 1 0 1 0 ];
%在坐标图上绘出样本点
plotpv(P,T);
%建立一个感知器网络
net=newp([-1 1;
www.eeworm.com/read/157533/11694026
m example4_1.m
%输入样本点及其相应的类别
P = [-0.5 -0.5 0.3 -0.1 0.2 0.0 0.6 0.8;
-0.5 0.5 -0.5 1.0 0.5 -0.9 0.8 -0.6];
T = [1 1 0 1 1 0 1 0 ];
%在坐标图上绘出样本点
plotpv(P,T);
%建立一个感知器网络
net=newp([-1 1;
www.eeworm.com/read/153016/12067024
m perception1.m
%输入样本点及其相应的类别
P = [-0.5 -0.5 0.3 -0.1 0.2 0.0 0.6 0.8;
-0.5 0.5 -0.5 1.0 0.5 -0.9 0.8 -0.6];
T = [1 1 0 1 1 0 1 0 ];
%在坐标图上绘出样本点
plotpv(P,T);
%建立一个感知器网络
net=newp([-1 1;
www.eeworm.com/read/252338/12286045
m example4_1.m
%输入样本点及其相应的类别
P = [-0.5 -0.5 0.3 -0.1 0.2 0.0 0.6 0.8;
-0.5 0.5 -0.5 1.0 0.5 -0.9 0.8 -0.6];
T = [1 1 0 1 1 0 1 0 ];
%在坐标图上绘出样本点
plotpv(P,T);
%建立一个感知器网络
net=newp([-1 1;
www.eeworm.com/read/150121/12310997
m example4_1.m
%输入样本点及其相应的类别
P = [-0.5 -0.5 0.3 -0.1 0.2 0.0 0.6 0.8;
-0.5 0.5 -0.5 1.0 0.5 -0.9 0.8 -0.6];
T = [1 1 0 1 1 0 1 0 ];
%在坐标图上绘出样本点
plotpv(P,T);
%建立一个感知器网络
net=newp([-1 1;
www.eeworm.com/read/114383/15055538
m example4_1.m
%输入样本点及其相应的类别
P = [-0.5 -0.5 0.3 -0.1 0.2 0.0 0.6 0.8;
-0.5 0.5 -0.5 1.0 0.5 -0.9 0.8 -0.6];
T = [1 1 0 1 1 0 1 0 ];
%在坐标图上绘出样本点
plotpv(P,T);
%建立一个感知器网络
net=newp([-1 1;