代码搜索：Perceptron
找到约 779 项符合「Perceptron」的源代码
代码结果 779
www.eeworm.com/read/392194/8358638
m perceptron.m
%单个神经元的感知器示例
clear
x=[0 0; 0.1 -0.1; 1.1 0.9; 1 1]; %输入样本
d=[0; 1; 1; 0]; %输出样本
n=100; %最大迭代次数
ep=0.0001; %精度
Per=NewCell(2,'Trapezoidal'); %创建一个神经元, 也就是感知器
y=zeros(size(d)); %用于保存实际输出
i=0
www.eeworm.com/read/191902/8417169
m perceptron.m
function D = Perceptron(train_features, train_targets, alg_param, region)
% Classify using the Perceptron algorithm (Fixed increment single-sample perceptron)
% Inputs:
% features - Train featur
www.eeworm.com/read/389442/8519770
m perceptron.m
clear
P=rand(2,50)*10;
T=zeros(1,50);
for i=1:50
if (P(1,i)
www.eeworm.com/read/388656/8586759
m perceptron.m
clc; clear all;
A=[0 0 1;
1 2 2;
1 1 1]; %Pattern 1,each column vector is a sample
Num_A=3; %Num_A is the number of Pattern 1's sample
B=[2 3 3;
0 0 1;
1 1 1]; %Pattern 2,ea
www.eeworm.com/read/388092/8636291
m perceptron.m
clear
P=rand(2,50)*10;
T=zeros(1,50);
for i=1:50
if (P(1,i)
www.eeworm.com/read/286662/8751769
m perceptron.m
function [test_targets, a] = Perceptron(train_patterns, train_targets, test_patterns, alg_param)
% Classify using the Perceptron algorithm (Fixed increment single-sample perceptron)
% Inputs:
%
www.eeworm.com/read/428849/8834864
m perceptron.m
function model=perceptron(data,options,init_model)
% PERCEPTRON Perceptron algorithm to train binary linear classifier.
%
% Synopsis:
% model = perceptron(data)
% model = perceptron(data,options)
%
www.eeworm.com/read/377506/9273780
dsw perceptron.dsw
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