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/120147/6303499
m nnd5rb.m
function nnd5rb(cmd)
%NND5RB Reciprocal basis demonstration.
% INITIALIZE
arrow_size=0.2;
not_first_tm=0;
% BRING UP FIGURE IF IT EXISTS
me = 'nnd5rb';
fig = nndfgflg(me);
if length(ge
www.eeworm.com/read/120147/6303505
m nnd12rp.m
function nnd12rp(cmd,arg1)
%NND12RP Resilient backpropagation demonstration.
%
% This demonstration requires the Neural Network Toolbox.
% First Version, 7-25-96.
%=====================
www.eeworm.com/read/120147/6303509
m nnd12ms.m
function nnd12ms(cmd,arg1)
%NND12MS Maquardt step demonstration.
%
% This demonstration requires the Neural Network Toolbox.
% First Version, 8-31-95.
%=======================================
www.eeworm.com/read/120147/6303522
m nnd14lv1.m
function nnd14lv1(cmd,arg1,arg2,arg3)
%NND4LV1 LVQ1 demonstration.
%
% This demonstration requires the Neural Network Toolbox.
% First Version, 8-31-95.
%=====================================
www.eeworm.com/read/130220/6340127
cpp invisiblewindow.cpp
// InvisibleWindow.cpp
#include "stdafx.h"
#include "InvisibleWindow.h"
WindowClass InvisibleWindow::s_wc(__TEXT("InvisibleWindowClass"), InvisibleWindowProc);
bool InvisibleWindow::Create(I
www.eeworm.com/read/491824/6426805
asv nnd12sd1.asv
function nnd12sd1(cmd,arg1)
%NND12SD1 Steepest descent backpropagation demonstration #1.
%
% This demonstration requires the Neural Network Toolbox.
% $Revision: 1.8 $
% Copyright 1994-2002 PW
www.eeworm.com/read/491824/6426807
m nnd4pr.m
function nnd4pr(cmd,arg1,arg2,arg3)
%NND4PR Perceptron rule demonstration.
%
% This demonstration requires either the MININNET functions
% on the NND disk or the Neural Network Toolbox.
% $Re
www.eeworm.com/read/491824/6426810
m nnd9sd.m
function nnd9sd(cmd,data)
%NND9SD Steepest descent demonstration.
% $Revision: 1.6 $
% Copyright 1994-2002 PWS Publishing Company and The MathWorks, Inc.
% First Version, 8-31-95.
%==========
www.eeworm.com/read/491824/6426813
asv nnd12vl.asv
function nnd12vl(cmd,arg1)
%NND12VL Variable learning rate backpropagation demonstration.
%
% This demonstration requires the Neural Network Toolbox.
% $Revision: 1.7 $
% Copyright 1994-2002 P
www.eeworm.com/read/491824/6426815
m nnd12mo.m
function nnd12mo(cmd,arg1)
%NND12MO Momentum backpropagation demonstration.
%
% This demonstration requires the Neural Network Toolbox.
% $Revision: 1.7 $
% Copyright 1994-2002 PWS Publishing