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/361257/10062684
m nnd13hd.m
function nnd13hd(cmd,arg1,arg2,arg3)
%NND13HD Hebb with decay demonstration.
%
% This demonstration requires either the MININNET functions
% on the NND disk or the Neural Network Toolbox.
% Fir
www.eeworm.com/read/361257/10062694
m nnd3hopc.m
function nnd3hopc(cmd,arg1,arg2,arg3)
%NND3HOPC Hopfield classification demonstration.
%
% This demonstration requires either the MININNET functions
% on the NND disk or the Neural Network Toolbox
www.eeworm.com/read/361257/10062698
m nnd14fm1.m
function nnd14fm1(cmd,arg1,arg2,arg3)
%NND14FM1 1-D feature map demonstration.
%
% This demonstration requires the Neural Network Toolbox.
% First Version, 8-31-95.
%=========================
www.eeworm.com/read/361257/10062700
m nnd13gis.m
function nnd13gis(cmd,arg1,arg2,arg3)
%NND13GIS Graphical instar demonstration.
%
% This demonstration requires either the MININNET functions
% on the NND disk or the Neural Network Toolbox.
%
www.eeworm.com/read/361257/10062714
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/361257/10062718
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/361257/10062781
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/361257/10062794
m nnd15sn.m
function nnd15sn(cmd,arg1,arg2,arg3)
%NND15SN Shunting network demonstration.
% First Version, 8-31-95.
%==================================================================
% GLOBALS
global
www.eeworm.com/read/361257/10062809
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/361257/10062814
m nnd7sh.m
function nnd7sh(cmd,arg1,arg2,arg3)
%NND7SH Supervised Hebb demonstration.
%==================================================================
% CONSTANTS
me = 'nnd7sh';
p_x = 5; % pattern ho