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/400947/11566706
m untitled2www.m
function [x_jpda,p_jpda,x_immjpda,p_immjpda,u_output]=f_immjpda_new(state_dm,target_no,flag,prob,mes,mes_total,x1,p1,u_input,vv,pd,pg,lmd)
model_number=6;
%模型参数按列存放,各个模型的fai(j)是9×9矩阵,g(j)是9×3矩阵,q(j
www.eeworm.com/read/400947/11566712
asv f_immjpda_new2.asv
%计算目标号为target_no的目标的immjpda滤波信息
%2004.1.9更新
function [x_jpda,p_jpda,x_immjpda,p_immjpda,u_output]=f_immjpda_new(state_dm,target_no,flag,prob,mes,mes_total,x1,p1,u_input,vv,pd,pg,lmd)
%v:跟踪门体积(需计算-长
www.eeworm.com/read/400947/11566737
m f_immjpda_new.m
%计算目标号为target_no的目标的immjpda滤波信息
%2004.1.9更新
function [x_jpda,p_jpda,x_immjpda,p_immjpda,u_output]=f_immjpda_new(state_dm,target_no,flag,prob,mes,mes_total,x1,p1,u_input,v,pd,pg,lmd)
%v:跟踪门体积(需计算-长方
www.eeworm.com/read/400947/11566750
m f_immjpda_new2.m
%计算目标号为target_no的目标的immjpda滤波信息
%2004.1.9更新
function [x_jpda,p_jpda,x_immjpda,p_immjpda,u_output]=f_immjpda_new(state_dm,target_no,flag,prob,mes,mes_total,x1,p1,u_input,vv,pd,pg,lmd)
%v:跟踪门体积(需计算-长
www.eeworm.com/read/347286/11676866
h analyse.h
/*****************************************************************************
* analyse.h: h264 encoder library
*****************************************************************************
* Copy
www.eeworm.com/read/343867/11920721
h analyse.h
/*****************************************************************************
* analyse.h: h264 encoder library
*****************************************************************************
* C
www.eeworm.com/read/251529/12339244
cpp testfastslam.cpp
/*
* Bayes++ the Bayesian Filtering Library
* Copyright (c) 2004 Michael Stevens
* See accompanying Bayes++.htm for terms and conditions of use.
*
* $Id: testFastSLAM.cpp 564 2006-04-05 20:51:38
www.eeworm.com/read/217521/14959360
makefile
# D. Brugger, december 2006
# $Id: Makefile 1 2006-12-16 14:03:21Z beeblbrox $
CXXC = mpicxx
CC = mpicc
CFLAGS = -Wall -O3
# Use following flags for debugging/profiling
#CFLAGS = -Wall -pg -g
#CFLAGS
www.eeworm.com/read/212897/15146065
m svm_class_iris.m
function result=Svm_Class_Iris()
clear all
clc
load 'D:/iris.mat'
n=1000;
acc_ratio=zeros(1,n);
acc=zeros(1,n);
time=zeros(1,n);
for i=1:1:n
tic
m=25;
p1 = randperm(
www.eeworm.com/read/473227/6849361
cpp testfastslam.cpp
/*
* Bayes++ the Bayesian Filtering Library
* Copyright (c) 2004 Michael Stevens
* See accompanying Bayes++.htm for terms and conditions of use.
*
* $Header: /cvsroot/bayesclasses/Bayes++/SLAM/te