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找到约 5,352 项符合「Learning」的源代码
代码结果 5,352
www.eeworm.com/read/460712/7105560
m chap5_8main.m
%Adaptive switching Learning Control for 2DOF robot manipulators
clear all;
close all;
t=[0:0.01:1]';
k(1:101)=0;
k=k';
theta1(1:101)=0;
theta1=theta1';
theta2=theta1;
theta=[theta1 theta2];
%%%%%%%
www.eeworm.com/read/439271/7713590
m chap5_4main.m
%Adaptive switching Learning Control for 2DOF robot manipulators
clear all;
close all;
t=[0:0.001:5]';
T1(1:5001)=0;
T1=T1';
T2=T1;
T=[T1 T2];
k(1:5001)=0;
k=k';
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
www.eeworm.com/read/439271/7713593
m chap5_8main.m
%Adaptive switching Learning Control for 2DOF robot manipulators
clear all;
close all;
t=[0:0.01:1]';
k(1:101)=0;
k=k';
theta1(1:101)=0;
theta1=theta1';
theta2=theta1;
theta=[theta1 theta2];
%%%%%%%
www.eeworm.com/read/143498/12870352
m percepdm.m
% Demo of perceptron learning
% Roger Jang, Oct-8-96
data_n = 20;
in_data = rand(data_n, 2)*2-1;
index1 = find(in_data(:,1)+in_data(:,2)>0);
index2 = (1:data_n)';
index2(index1) = [];
data
www.eeworm.com/read/403569/11514666
m chap5_4main.m
%Adaptive switching Learning Control for 2DOF robot manipulators
clear all;
close all;
t=[0:0.001:5]';
T1(1:5001)=0;
T1=T1';
T2=T1;
T=[T1 T2];
k(1:5001)=0;
k=k';
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
www.eeworm.com/read/403569/11514669
m chap5_8main.m
%Adaptive switching Learning Control for 2DOF robot manipulators
clear all;
close all;
t=[0:0.01:1]';
k(1:101)=0;
k=k';
theta1(1:101)=0;
theta1=theta1';
theta2=theta1;
theta=[theta1 theta2];
%%%%%%%
www.eeworm.com/read/381211/9103998
m fg_09_08.m
% fg_09_08 RLS and ideal MSE learning curve plots.
m=1; u=.05; alpha=0.2; K1=101; k1=[0:K1-1]';
% Ideal mse convergence.
phi=cos(2*pi*[0:12]/12);
Phiff=[phi(1) phi(2); phi(2) phi(1)];
phifd=
www.eeworm.com/read/460712/7105588
m chap5_1main.m
%Adaptive switching Learning Control for 2DOF robot manipulators
clear all;
close all;
t=[0:0.01:3]';
k(1:301)=0; %Total initial points
k=k';
T1(1:301)=0;
T1=T1';
T2=T1;
T=[T1 T2];
%%%%%%%%%%%%%%%
www.eeworm.com/read/439271/7713621
m chap5_1main.m
%Adaptive switching Learning Control for 2DOF robot manipulators
clear all;
close all;
t=[0:0.01:3]';
k(1:301)=0; %Total initial points
k=k';
T1(1:301)=0;
T1=T1';
T2=T1;
T=[T1 T2];
%%%%%%%%%%%%%%%
www.eeworm.com/read/136697/13365369
m ucl.m
function [y2,m2x,m2y]=ucl(samples,p,c,wii,wij,rands)
% [y2,m2x,m2y]= UCL(samples,p,c,wii,wij,rands)
%
% Stochastic Unsupervised-Competive-Learning (UCL) algorithm.
%
% An autoassociative AVQ two-lay