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/151851/12168687
m nnd13h.m
function nnd13h(cmd,arg1,arg2,arg3)
%NND13H Hebb rule demonstration.
% First Version, 8-31-95.
%==================================================================
% CONSTANTS
me = 'nnd13h';
www.eeworm.com/read/151851/12168692
m nnd15gl1.m
function nnd15gl1(cmd,arg1,arg2,arg3)
%NND15GL1 Grossberg layer 1 demonstration.
% First Version, 8-31-95.
%==================================================================
% GLOBALS
glob
www.eeworm.com/read/151851/12168782
m nnd13os.m
function nnd13os(cmd,arg1,arg2,arg3)
%NND13OS Unsupervised Hebb demonstration.
%
% This demonstration requires either the MININNET functions
% on the NND disk or the Neural Network Toolbox.
% F
www.eeworm.com/read/151851/12168793
m nnd15sn.m
function nnd15sn(cmd,arg1,arg2,arg3)
%NND15SN Shunting network demonstration.
% First Version, 8-31-95.
%==================================================================
% GLOBALS
global
www.eeworm.com/read/151851/12168815
m nnd14cc.m
function nnd14cc(cmd,arg1,arg2,arg3)
%NND14CC Competitive classification demonstration.
%
% This demonstration requires either the MININNET functions
% on the NND disk or the Neural Network Toolbo
www.eeworm.com/read/151851/12168822
m nnd7sh.m
function nnd7sh(cmd,arg1,arg2,arg3)
%NND7SH Supervised Hebb demonstration.
%==================================================================
% CONSTANTS
me = 'nnd7sh';
p_x = 5; % pattern ho
www.eeworm.com/read/151851/12168831
m nnd13is.m
function nnd13is(cmd,arg1,arg2,arg3)
%NND13IS Instar demonstration.
%
% This demonstration requires either the MININNET functions
% on the NND disk or the Neural Network Toolbox.
% First Versio
www.eeworm.com/read/151555/12201489
m bizcard.m
function bizcard
% BIZCARD Future version of The MathWorks business card.
% Click anywhere on the card.
clf reset
shg
set(gcf,'name','The MathWorks Business Card', ...
'menu','none','num
www.eeworm.com/read/151555/12201592
m fftgui.m
function fftgui(y)
%FFTGUI Demonstration of Finite Fourier Transform.
% FFTGUI(y) plots real(y), imag(y), real(fft(y)) and imag(fft(y)).
% FFTGUI, without any arguments, uses y = zeros(1,32).
%