代码搜索:predict

找到约 2,271 项符合「predict」的源代码

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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