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';