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/123733/14614986

m lmbptraffic2.m

%这是****货运量****的神经网络公式计算程序 clear clf reset; figure(gcf); %setfsize(500,200); echo on clc %初始数据及进行归一化处理——————————————————————————————————
www.eeworm.com/read/475660/6775437

m observe_model.m

function [z,H]= observe_model(x, idf) %function [z,H]= observe_model(x, idf) % % INPUTS: % x - state vector % idf - index of feature order in state % % OUTPUTS: % z - predicted observati
www.eeworm.com/read/473227/6849386

hpp unsflt.hpp

#ifndef _BAYES_FILTER_UNSCENTED #define _BAYES_FILTER_UNSCENTED /* * Bayes++ the Bayesian Filtering Library * Copyright (c) 2002 Michael Stevens * See accompanying Bayes++.htm for terms and condit
www.eeworm.com/read/174377/9590037

hpp unsflt.hpp

#ifndef _BAYES_FILTER_UNSCENTED #define _BAYES_FILTER_UNSCENTED /* * Bayes++ the Bayesian Filtering Library * Copyright (c) 2002 Michael Stevens * See accompanying Bayes++.htm for terms and condit
www.eeworm.com/read/411670/11234333

m observe_model.m

function [z,H]= observe_model(x, idf) %function [z,H]= observe_model(x, idf) % % INPUTS: % x - state vector % idf - index of feature order in state % % OUTPUTS: % z - predicted observati
www.eeworm.com/read/380183/9158312

m f_immjpda.m

%计算目标号为target_no的目标的immjpda滤波信息 function [x_jpda,p_jpda,x_immjpda,p_immjpda]=f_immjpda(state_dm,target_no,flag,prob,mes,mes_total,x1,p1,x2,p2) %本程序获得特定目标的jpda和immjpda的滤波结果 %x_jpda:单模型jpda状态向量组合 %p
www.eeworm.com/read/380183/9158366

asv f_immjpda.asv

%计算目标号为target_no的目标的immjpda滤波信息 function [x_jpda,p_jpda,x_immjpda,p_immjpda]=f_immjpda(state_dm,target_no,flag,prob,mes,mes_total,x1,p1,x2,p2) %本程序获得特定目标的jpda和immjpda的滤波结果 %x_jpda:单模型jpda状态向量组合 %p
www.eeworm.com/read/400947/11566689

m f_immjpda.m

%计算目标号为target_no的目标的immjpda滤波信息 function [x_jpda,p_jpda,x_immjpda,p_immjpda]=f_immjpda(state_dm,target_no,flag,prob,mes,mes_total,x1,p1,x2,p2) %本程序获得特定目标的jpda和immjpda的滤波结果 %x_jpda:单模型jpda状态向量组合 %p
www.eeworm.com/read/400947/11566717

asv f_immjpda.asv

%计算目标号为target_no的目标的immjpda滤波信息 function [x_jpda,p_jpda,x_immjpda,p_immjpda]=f_immjpda(state_dm,target_no,flag,prob,mes,mes_total,x1,p1,x2,p2) %本程序获得特定目标的jpda和immjpda的滤波结果 %x_jpda:单模型jpda状态向量组合 %p
www.eeworm.com/read/172007/9726903

m f_immjpda.m

%计算目标号为target_no的目标的immjpda滤波信息 function [x_jpda,p_jpda,x_immjpda,p_immjpda]=f_immjpda(state_dm,target_no,flag,prob,mes,mes_total,x1,p1,x2,p2) %本程序获得特定目标的jpda和immjpda的滤波结果 %x_jpda:单模型jpda状态向量组合 %p