代码搜索：UserData

找到约 4,368 项符合「UserData」的源代码

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热门代码： main.c GPIO I2C SPI UART timer interrupt ADC PWM LED
www.eeworm.com/read/390840/8437918

m nnd16fm1.m

function nnd16fm1(cmd,arg1,arg2,arg3) %NND16FM1 1-D feature map demonstration. % % This demonstration requires the Neural Network Toolbox. % $Revision: 1.8 $ % Copyright 1994-2002 PWS Publishi
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m nnd13breg.m

function nnd13breg(cmd,data) %NND13BREG Steepest descent demonstration. % $Revision: 1.6 $ % Copyright 1994-2002 PWS Publishing Company and The MathWorks, Inc. % First Version, 8-31-95. %====
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m nnd15hd.m

function nnd15hd(cmd,arg1,arg2,arg3) %NND15HD Hebb with decay demonstration. % % This demonstration requires either the MININNET functions % on the NND disk or the Neural Network Toolbox. % $
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m nnd14iir.m

function [ret1,ret2,ret3,ret4,ret5]=nnd14iir(cmd,arg1,arg2,arg3,arg4,arg5) %NND14IIR Finite Impulse Response Network % % This demonstration requires either the MININNET functions % on the NND di
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m nnd17no.m

function nnd17no(cmd,arg1) % nnd17no Function approximation demonstration. % This demonstration requires the Neural Network Toolbox. % Copyright 1994-2002 PWS Publishing Company and The MathWorks
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asv nnd12ls.asv

function nnd12ls(cmd,arg1) %NND12LS Conjugate gradient lines search demonstration. % % This demonstration requires the Neural Network Toolbox. % Copyright 1994-2002 PWS Publishing Company and T
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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 Toolb
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m nnd18gl1.m

function nnd18gl1(cmd,arg1,arg2,arg3) %NND18GL1 Grossberg layer 1 demonstration. % $Revision: 1.7 $ $Date: 2002/04/14 21:23:30 $ % Copyright 1994-2002 PWS Publishing Company and The MathWorks, In
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m nnd18sn.m

function nnd18sn(cmd,arg1,arg2,arg3) %NND18SN Shunting network demonstration. % $Revision: 1.6 $ % Copyright 1994-2002 PWS Publishing Company and The MathWorks, Inc. % First Version, 8-31-95.
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m nnd16cl.m

function nnd16cl(cmd,arg1,arg2,arg3) %NND16CL Competitive learning demonstration. % % This demonstration requires either the MININNET functions % on the NND disk or the Neural Network Toolbox.
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