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/369168/9660333

m bp_axles.m

function varargout = BP_Axles(varargin) % BP_AXLES M-file for BP_Axles.fig % BP_AXLES, by itself, creates a new BP_AXLES or raises the existing % singleton*. % % H = BP_AXLES retur
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www.eeworm.com/read/369168/9660349

asv bp_axles.asv

function varargout = BP_Axles(varargin) % BP_AXLES M-file for BP_Axles.fig % BP_AXLES, by itself, creates a new BP_AXLES or raises the existing % singleton*. % % H = BP_AXLES retur
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www.eeworm.com/read/366783/9798839

c user_task.c

/* ******************************************************************************** uS/OS-II v2.8 文 件 名 : test.c 作 者 : czn 版 本 : v1.0 *************
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www.eeworm.com/read/366783/9798843

lst user_task.lst

C51 COMPILER V7.50 USER_TASK 01/25/2007 14:15:04 PAGE 1 C51 COMPILER V7.50, COMPILATION OF MODULE USER_TASK OBJECT MODULE PLACED
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www.eeworm.com/read/414357/11118963

asv nnd12sd1.asv

function nnd12sd1(cmd,arg1) %NND12SD1 Steepest descent backpropagation demonstration #1. % % This demonstration requires the Neural Network Toolbox. % $Revision: 1.8 $ % Copyright 1994-2002 PW
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www.eeworm.com/read/414357/11118969

m nnd4pr.m

function nnd4pr(cmd,arg1,arg2,arg3) %NND4PR Perceptron rule demonstration. % % This demonstration requires either the MININNET functions % on the NND disk or the Neural Network Toolbox. % $Re
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www.eeworm.com/read/414357/11118977

m nnd9sd.m

function nnd9sd(cmd,data) %NND9SD 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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www.eeworm.com/read/414357/11118985

asv nnd12vl.asv

function nnd12vl(cmd,arg1) %NND12VL Variable learning rate backpropagation demonstration. % % This demonstration requires the Neural Network Toolbox. % $Revision: 1.7 $ % Copyright 1994-2002 P
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www.eeworm.com/read/414357/11118989

m nnd12mo.m

function nnd12mo(cmd,arg1) %NND12MO Momentum backpropagation demonstration. % % This demonstration requires the Neural Network Toolbox. % $Revision: 1.7 $ % Copyright 1994-2002 PWS Publishing
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www.eeworm.com/read/414357/11119014

asv nnd12sd2.asv

function nnd12sd2(cmd,arg1) %NND12SD2 Steepest descent backpropagation demonstration #2. % % This demonstration requires the Neural Network Toolbox. % $Revision: 1.8 $ % Copyright 1994-2002 PW
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