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/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