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/103778/6212247
java xmluserdata.java
/* CVS ID $Id: XMLUserData.java,v 1.8 2001/06/12 09:29:12 wastl Exp $ */
package net.wastl.webmail.xml;
import net.wastl.webmail.config.*;
import net.wastl.webmail.server.*;
import net.wastl.webmail.
www.eeworm.com/read/120147/6303408
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/120147/6303410
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/120147/6303411
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
www.eeworm.com/read/120147/6303416
m nnd12ls.m
function nnd12ls(cmd,arg1)
%NND12LS Conjugate gradient lines search demonstration.
%
% This demonstration requires the Neural Network Toolbox.
% First Version, 8-31-95.
%=====================
www.eeworm.com/read/120147/6303417
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/120147/6303452
m nnd14cl.m
function nnd14cl(cmd,arg1,arg2,arg3)
%NND14CL Competitive learning demonstration.
%
% This demonstration requires either the MININNET functions
% on the NND disk or the Neural Network Toolbox.
www.eeworm.com/read/120147/6303462
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/120147/6303463
m nnd3hamc.m
function nnd3hamc(cmd,arg1,arg2,arg3)
%NND3HAMC Hamming classification demonstration.
%
% This demonstration requires either the MININNET functions
% on the NND disk or the Neural Network Toolbox.
www.eeworm.com/read/120147/6303474
m nnd13h.m
function nnd13h(cmd,arg1,arg2,arg3)
%NND13H Hebb rule demonstration.
% First Version, 8-31-95.
%==================================================================
% CONSTANTS
me = 'nnd13h';