代码搜索：Learning
找到约 5,352 项符合「Learning」的源代码
代码结果 5,352
www.eeworm.com/read/439271/7713589
m chap5_7main.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;
theta3=theta1;
theta4=theta1;
www.eeworm.com/read/403569/11514665
m chap5_7main.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;
theta3=theta1;
theta4=theta1;
www.eeworm.com/read/367675/2833529
txt 20.txt
发信人: GzLi (笑梨), 信区: DataMining
标 题: Re: Tom Mitchell的《Machine Learning》上传完毕
发信站: 南京大学小百合站 (Tue Nov 19 17:21:03 2002), 站内信件
整理到
ftp://211.80.38.17/datamining/lily上载区/book
感谢francois！
【 在 f
www.eeworm.com/read/367675/2835499
txt 712.txt
发信人: tyqqre (tyqqre), 信区: DataMining
标 题: Re: 讨论一下BNB算法！
发信站: 南京大学小百合站 (Tue Dec 4 14:20:23 2001)
Elkan C. (1997). Boosting and Naive Bayesian Learning. Technical Report No. CS
97-557, Septembe
www.eeworm.com/read/367675/2836906
txt 686.txt
发信人: jhdai (毕不了业), 信区: DataMining
标 题: Re: 在北京开的ICMLC02的论文被EI收录吗？
发信站: 南京大学小百合站 (Tue Aug 27 12:26:55 2002), 站内信件
Sponsored by:
The Machine Learning Centre of the Hebei University
and
the IEEE
www.eeworm.com/read/367675/2837524
txt 900.txt
发信人: GzLi (笑梨), 信区: DataMining
标 题: Re: Tom Mitchell的《Machine Learning》上传完毕
发信站: 南京大学小百合站 (Tue Nov 19 17:21:03 2002), 站内信件
整理到
ftp://211.80.38.17/datamining/lily上载区/book
感谢francois！
【 在 f
www.eeworm.com/read/381211/9103657
m fg_09_03.m
% fg_09_03 MSE learning curve plot.
m=1; u=.05; N=50; k=[0:N-1];
phi=cos(2*pi*[0:12]/12);
Phiff=[phi(1) phi(2); phi(2) phi(1)];
phifd=[phi(m+1); phi(m+2)];
bopt=Phiff\phifd;
mse_min=phi(1)-phi
www.eeworm.com/read/381211/9103800
m fg_09_05.m
% fg_09_05 Two MSE learning curve plots.
m=1; u=.05; K1=51; k1=[0:K1-1]';
% Ideal mse convergence.
phi=cos(2*pi*[0:12]/12);
Phiff=[phi(1) phi(2); phi(2) phi(1)];
phifd=[phi(m+1); phi(m+2)];
www.eeworm.com/read/246833/12702599
m bpnn.m
clc;clear
% L-K-J-I ANN
L=3;K=3;J=5;I=1;
% eta, learning rate
eta=1.e-02;
% No. of epochs
N=1000;
% initial conditions of weight and bias
W_kl=rands(K,L);
W_jk=rands(J,K);
W_ij=rands(I,J);
th_k=rands(
www.eeworm.com/read/328896/12996141
plg nt7532.plg
礦ision3 Build Log
Project:
E:\learning data\program code\NT7532H driver\NT7532\program\NT7532.uv2
Project File Date: 01/05/2007
Output:
Build