代码搜索：Predictive
找到约 274 项符合「Predictive」的源代码
代码结果 274
www.eeworm.com/read/303058/13822604
m ekf_update1.m
%EKF_UPDATE1 1st order Extended Kalman Filter update step
%
% Syntax:
% [M,P,K,MU,S,LH] = EKF_UPDATE1(M,P,Y,H,R,[h,V,param])
%
% In:
% M - Nx1 mean state estimate after prediction step
% P -
www.eeworm.com/read/407295/11422488
m ekf_update2.m
%EKF_UPDATE2 2nd order Extended Kalman Filter update step
%
% Syntax:
% [M,P,K,MU,S,LH] = EKF_UPDATE2(M,P,Y,H,H_xx,R,[h,V,param])
%
% In:
% M - Nx1 mean state estimate after prediction step
%
www.eeworm.com/read/407295/11422489
m ekf_update1.m
%EKF_UPDATE1 1st order Extended Kalman Filter update step
%
% Syntax:
% [M,P,K,MU,S,LH] = EKF_UPDATE1(M,P,Y,H,R,[h,V,param])
%
% In:
% M - Nx1 mean state estimate after prediction step
% P -
www.eeworm.com/read/251528/12339462
m ekf_update2.m
%EKF_UPDATE2 2nd order Extended Kalman Filter update step
%
% Syntax:
% [M,P,K,MU,S,LH] = EKF_UPDATE2(M,P,Y,H,H_xx,R,[h,V,param])
%
% In:
% M - Nx1 mean state estimate after prediction step
%
www.eeworm.com/read/251528/12339467
m ekf_update1.m
%EKF_UPDATE1 1st order Extended Kalman Filter update step
%
% Syntax:
% [M,P,K,MU,S,LH] = EKF_UPDATE1(M,P,Y,H,R,[h,V,param])
%
% In:
% M - Nx1 mean state estimate after prediction step
% P -
www.eeworm.com/read/307448/13722163
pdf predictive control-part i. the basic algorithm.pdf
www.eeworm.com/read/307914/13713216
svm face.svm
361
2
linear
-0.806308
1
0.45517
0.43082
0.42483
0.45174
0.50969
0.58223
0.64425
0.67672
0.68108
0.66968
0.65084
0.63067
0.61185
0.5936
0.57484
0.55363
0.53033
0.50666
0.48337
0.43699
0.38754
0.365
www.eeworm.com/read/307914/13713218
nn preflt.nn
361
2
linear
-0.806308
1
0.45517
0.43082
0.42483
0.45174
0.50969
0.58223
0.64425
0.67672
0.68108
0.66968
0.65084
0.63067
0.61185
0.5936
0.57484
0.55363
0.53033
0.50666
0.48337
0.43699
0.38754
0.365
www.eeworm.com/read/403340/11518824
pdf 9. jpredictor--a predictive runtime analysis tool for java.pdf
www.eeworm.com/read/255695/12064495