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/351010/10688359
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/351010/10688370
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/351010/10688491
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/351010/10688516
m nnd15sn.m
function nnd15sn(cmd,arg1,arg2,arg3)
%NND15SN Shunting network demonstration.
% First Version, 8-31-95.
%==================================================================
% GLOBALS
global
www.eeworm.com/read/351010/10688551
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/351010/10688563
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/351010/10688578
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/158963/10707230
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/158963/10707294
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.
%=========================
www.eeworm.com/read/158963/10707302
m nnd13uh.m
function nnd13uh(cmd,arg1,arg2,arg3)
%NND13UH Unsupervised Hebb demonstration.
%
% This demonstration requires either the MININNET functions
% on the NND disk or the Neural Network Toolbox.
% F