代码搜索：predict
找到约 2,271 项符合「predict」的源代码
代码结果 2,271
www.eeworm.com/read/473622/6847365
m robotdisplacement.m
%ROBOTDISPLACEMENT Predict global map after a robot displacement.
% G = ROBOTDISPLACEMENT(G,XR,CR,FXR) updates the global map G given
% the predicted 3x1 robot pose XR, its predicted 3x3 covarianc
www.eeworm.com/read/335930/12490144
m extract.m
%extract.m
function [A1,A2] = extract( A ,ratio)
r = size(A, 1);
i = randperm(r);
A1 = A(i(1:r*(1-ratio)), :);
A2 = A(i(r*(1-ratio)+1:end), :);
% use 1-ratio to train and the other to predict
www.eeworm.com/read/108886/15570892
c sample.c
/*************************************************************************/
/* */
/* Source code for use with See5/C5.0 Release 1.19 */
/* -----------------------------------------------
www.eeworm.com/read/108752/15577593
c sample.c
/*************************************************************************/
/* */
/* Source code for use with See5/C5.0 Release 1.19 */
/* -----------------------------------------------
www.eeworm.com/read/380183/9158280
asv untitled2ww.asv
jpda_parameter;
u_input=[0.1,0.2,0.3,0.3,0.1,0.1]';
x_jpda=[10 1 0 10 1 0 10 1 0;9 1 0 9 1 0 9 1 0;8 1 0 8 1 0 8 1 0;7 1 0 7 1 0 7 1 0;6 1 0 6 1 0 6 1 0;5 1 0 5 1 0 5 1 0]';
p_jpda=[eye(9) eye(9
www.eeworm.com/read/380183/9158373
m untitled2.m
jpda_parameter;
u_input=[0.1,0.2,0.3,0.3,0.1,0.1]';
x_jpda=[10 1 0 10 1 0 10 1 0;9 1 0 9 1 0 9 1 0;8 1 0 8 1 0 8 1 0;7 1 0 7 1 0 7 1 0;6 1 0 6 1 0 6 1 0;5 1 0 5 1 0 5 1 0]';
p_jpda=[eye(9) eye(9
www.eeworm.com/read/372818/9492232
m qiangjidongmubiaogenzong.m
%目标跟踪算法仿真—_几维Cv模型跟踪匀速直线运动
%部分分量初始化设置
clear all;
clc;
T= 1;%采样周期
hits=300;%采样点数
MCNum=200;%Monte Carlo仿真次数
%模型的构造以及初始参数的设置
x0=0;v_x=100;a_x=
www.eeworm.com/read/299999/7814777
m kalmandynamic.m
%%函数2 动态模型
function [Xm_est,Pm_estimate,ua1,qq,m]=kalmandynamic(Xm_pre,Xm_est,Pm_estimate,z1,k,P,qq,m);
T=2;
I=diag([1,1,1,1,1,1]);
Phi=[1,T,0,0,(T^2)/2,0;0,1,0,0,T,0;0,0,1,T,0,(T^2)/2;0,0,0,1,0,T
www.eeworm.com/read/299999/7814782
m kalmanstatic.m
%%%%函数1静态模型
function[X_pre,X_est,P_estimate,u1]=kalmanstatic(X_est,P_estimate,z1,k,u1)
T=2;
alpha=0.8; % 加权衰减因子
Phi=[1,T,0,0;0,1,0,0;0,0,1,T;0,0,0,1];
H=[1,0,0,0;0,0,1,0];
www.eeworm.com/read/299998/7814785
m kalmandynamic.m
%%函数2 动态模型
function [Xm_est,Pm_estimate,ua1,qq,m]=kalmandynamic(Xm_pre,Xm_est,Pm_estimate,z1,k,P,qq,m);
T=1;
I=diag([1,1,1,1,1,1]);
Phi=[1,T,0,0,(T^2)/2,0;0,1,0,0,T,0;0,0,1,T,0,(T^2)/2;0,0,0,1,0,T