代码搜索:UserData

找到约 4,368 项符合「UserData」的源代码

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www.eeworm.com/read/361283/10059554

pas uusersetup.pas

unit uUserSetup; interface uses Windows, Messages, SysUtils, Variants, Classes, Graphics, Controls, Forms, Dialogs, ExtCtrls, LBMorphVCLBase, LBMorphButton, StdCtrls, jpeg, ActnList, LB
www.eeworm.com/read/361283/10060336

~pas uusersetup.~pas

unit uUserSetup; interface uses Windows, Messages, SysUtils, Variants, Classes, Graphics, Controls, Forms, Dialogs, ExtCtrls, LBMorphVCLBase, LBMorphButton, StdCtrls, jpeg, ActnList, LB
www.eeworm.com/read/361257/10062579

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/361257/10062619

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/361257/10062624

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/361257/10062628

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/361257/10062635

m nnd3pc.m

function nnd3pc(cmd,arg1,arg2,arg3) %NND3PC Perceptron classification demonstration. % % This demonstration requires either the MININNET functions % on the NND disk or the Neural Network Toolbox.
www.eeworm.com/read/361257/10062646

m nnd6eg.m

function nnd6eg(cmd,data) %NND6EG Eigenvector game. % BRING UP FIGURE IF IT EXISTS me = 'nnd6eg'; fig = nnfgflag(me); if length(get(fig,'children')) == 0, fig = 0; end if nargin == 0, cmd =
www.eeworm.com/read/361257/10062651

m nndemof2.m

function fig = nndemof2(s1,s2,s3,s4,s5) %NNDEMOF2 Standard demo figure for Neural Network Toolbox GUI. % % NNDEMOF2(S1,S2,S3) % S1 - Name of window (default = 'NNDEMOF'). % S2 - Identifer in
www.eeworm.com/read/361257/10062658

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.