代码搜索：machine learning
找到约 10,000 项符合「machine learning」的源代码
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www.eeworm.com/read/465793/7046122
m learning_demo.m
% Make a point move in the 2D plane
% State = (x y xdot ydot). We only observe (x y).
% Generate data from this process, and try to learn the dynamics back.
% X(t+1) = F X(t) + noise(Q)
% Y(t) = H X(
www.eeworm.com/read/457079/7334339
h pso_learning.h
#include "stdafx.h"
#include "stdio.h"
#include "stdlib.h"
#include "time.h"
#include "math.h"
//随机数定义
#define rdint(i) (rand()%(int)(i))
#define rdft() (double)((double)rdint(16384)/
www.eeworm.com/read/457079/7334340
cpp pso_learning.cpp
#include "stdafx.h"
#include "stdio.h"
#include "stdlib.h"
#include "time.h"
#include "math.h"
#include "nrutil.h"
#include "hmm.h"
#include "pso_learning.h"
//全局变量定义
double W=1.0;
www.eeworm.com/read/456469/7348872
m learning1.m
clear all;
clc;
format short
format compact
a=zeros(1,10000); %存放冲突，1代表发生冲突，0代表没发生冲突
gamma=0.95; % 折扣因子
state_new=1;
new=zeros(1,20);
m=1;
s=zeros(1,5);
afa=0.1; %learning parame
www.eeworm.com/read/456469/7348873
m learning2.m
clear all;
clc;
format short
format compact
a=zeros(1,10000); %存放冲突，1代表发生冲突，0代表没发生冲突
gamma=0.95; % 折扣因子
state_new=1;
new=zeros(1,20);
m=1;
s=zeros(1,5);
afa=0.1; %learning parame
www.eeworm.com/read/456469/7348874
m learning4.m
clear all;
clc;
format short
format compact
a=zeros(1,10000); %存放冲突，1代表发生冲突，0代表没发生冲突
gamma=0.95; % 折扣因子
state_new=1;
new=zeros(1,20);
m=1;
s=zeros(1,5);
afa=0.1; %learning parame
www.eeworm.com/read/456469/7348876
m learning3.m
clear all;
clc;
format short
format compact
a=zeros(1,10000); %存放冲突，1代表发生冲突，0代表没发生冲突
gamma=0.95; % 折扣因子
state_new=1;
new=zeros(1,20);
m=1;
s=zeros(1,5);
afa=0.1; %learning parame
www.eeworm.com/read/455365/7372862
pdf ensemble learning.pdf
www.eeworm.com/read/454322/7394214
pdf learning python.pdf
www.eeworm.com/read/445921/7588125