代码搜索：UserData
找到约 4,368 项符合「UserData」的源代码
代码结果 4,368
www.eeworm.com/read/367442/9748192
m lindemo.m
function result = lindemo(action,hfigure,varargin)
% LINDEMO demo on the linear learning algorithms.
%
% LINDEMO demonstrates use of the algorithms which find
% linear decision hyperplane between tw
www.eeworm.com/read/367442/9748223
m andrdemo.m
function result = andrdemo(action,hfigure,varargin)
% ANDRDEMO demo on Generalized Anderson's task.
%
% ANDRDEMO demonstrates the algorithms which solve
% the Generalized Anderson`s Task (GAT).
%
www.eeworm.com/read/367442/9748266
m fishdemo.m
function []=fishdemo(action,hfigure,varargin)
% FISHDEMO demo on algorithms which learn Fisher's classifer.
%
% FISHDEMO demonstrates use of algorithms finding the Fisher's
% classifier. The task is
www.eeworm.com/read/366964/9786978
c gsm_sms.c
// *************************************************************************
// * GSM TA/ME library
// *
// * File: gsm_sms.cc
// *
// * Purpose: SMS functions
// * (ETSI GSM 07.05)
www.eeworm.com/read/414697/11105658
m imcmenum.m
current_obj=gcbo;
IMENU=get(gcbo,'UserData');
switch IMENU
case 2100 % process
if n_of_TF>1
edit_process;
else
[f]=crfig(50,50,520,370,['Process ',num2str(p_index),' : (' num2str(row) ','
www.eeworm.com/read/414697/11105905
asv imcmenum.asv
current_obj=gcbo;
IMENU=get(gcbo,'UserData');
switch IMENU
case 2100 % process
if n_of_TF>1
edit_process;
else
[f]=crfig(50,50,520,370,['Process ',num2str(p_index),' : (' num2str(row) ','
www.eeworm.com/read/268999/11111621
txt 完美c++疑难解答-异常处理.txt
1.解决return 只能返回一个值...;
#include "stdafx.h"
int InputData()
{
int userData;
coutuserData;
if(userData15)
www.eeworm.com/read/414357/11118956
m nnd15uh.m
function nnd15uh(cmd,arg1,arg2,arg3)
%NND15UH Unsupervised Hebb demonstration.
%
% This demonstration requires either the MININNET functions
% on the NND disk or the Neural Network Toolbox.
%
www.eeworm.com/read/414357/11118959
m nnd15gis.m
function nnd15gis(cmd,arg1,arg2,arg3)
%NND15GIS Graphical instar demonstration.
%
% This demonstration requires either the MININNET functions
% on the NND disk or the Neural Network Toolbox.
www.eeworm.com/read/414357/11118966
m nnd16fm1.m
function nnd16fm1(cmd,arg1,arg2,arg3)
%NND16FM1 1-D feature map demonstration.
%
% This demonstration requires the Neural Network Toolbox.
% $Revision: 1.8 $
% Copyright 1994-2002 PWS Publishi