代码搜索：UserData
找到约 4,368 项符合「UserData」的源代码
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www.eeworm.com/read/422052/10667038
c gsm_sms.c
// *************************************************************************
// * GSM TA/ME library
// *
// * File: gsm_sms.cc
// *
// * Purpose: SMS functions
// * (ETSI GSM 07.05)
www.eeworm.com/read/421949/10676587
m mmdemo.m
function []=mmdemo(action,hfigure,varargin)
% MMDEMO demo on the Minimax learning algorithm.
%
% MMDEMO demonstrates the Minimax learning algorithm on
% a simple examples in 2-dimensional featur
www.eeworm.com/read/421949/10676604
m unsudemo.m
function []=unsudemo(action,hfigure,varargin)
% UNSUDEMO demo on unsupervised (EM) learning algorithm.
%
% UNSUDEMO demonstrates the unsupervised (Expectation-Maximization)
% learning algorithm on
www.eeworm.com/read/421949/10676667
m quademo.m
function result = quademo(action,hfigure,varargin)
% QUADEMO demo on non-linear (quadratic) data mapping.
%
% QUADEMO demonstrates use of the linear algorithms
% which find quadratic decision functi
www.eeworm.com/read/421949/10677009
m creatset.m
function result = creatset(action,varargin)
% CREATSET interactive data sets generator.
%
% Generator is fully controled by mouse. The mouse buttons have
% the following functions:
% ------------
www.eeworm.com/read/421949/10677141
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/421949/10677208
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/421949/10677265
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/351010/10688118
m nnd16a1.m
function nnd16a1(cmd,arg1,arg2,arg3)
%NND16A1 ART1 algorithm demonstration.
% First Version, 8-31-95.
%==================================================================
% CONSTANTS
me = 'n
www.eeworm.com/read/351010/10688154
m nnd14fm2.m
function nnd14fm2(cmd,arg1,arg2,arg3)
%NND14FM2 2-D feature map demonstration.
%
% This demonstration requires the Neural Network Toolbox.
% First Version, 8-31-95.
%=========================