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/384601/8857046
m ragtry.m
%神经网络的一个预测程序实例
%输入向量
p=[97 28 12 32 18 3 0 3 10 3 6 14 8 20 2 11 24 0 9 6 3 5 3 1 3 14 2 10 2 173 17 5 1 61 7;
66 29 11 34 13 3 0 1 14 4 12 11 8 12 2 13 20 0 4 3 4 5 4 1 0 12 0 9 3 250 4 3 0 58 3
www.eeworm.com/read/282594/9081248
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/165161/10073846
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/354739/10329915
cnt winsvm.cnt
:Base winsvm.hlp
1 winsvm帮助
1 简介=HIDD_WINSVM_DIALOG
1 训练选项设置=training
1 预测选项设置=predict
1 归一化设置=scale
1 个人资料=content@content.hlp
www.eeworm.com/read/331374/12831734
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/302157/13840907
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/483033/6607871
m ukf_nmcda_update.m
%UKF_NMCDA_PREDICT UKF/NMCDA Update step
%
% Syntax:
% [S,EV_STRS] = ukf_nmcda_update(S,Y,t,h,R,CP,CD,pb,alpha,beta,param)
%
% In:
% S - Struct array 1xNP of particles
% Y - Dx1 measurement v
www.eeworm.com/read/256924/11964169
cnt winsvm.cnt
:Base winsvm.hlp
1 winsvm帮助
1 简介=HIDD_WINSVM_DIALOG
1 训练选项设置=training
1 预测选项设置=predict
1 归一化设置=scale
1 个人资料=content@content.hlp
www.eeworm.com/read/251529/12339306
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/231498/14230661
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