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找到约 5,431 项符合 Temperature 的代码

18b20.c

/******************************************************************************* ******************************************************************************** *函数描述:18B20复位和初始化函数 *局部变量: *返回参数:

plotemp3.c

// Borland C++ - (C) Copyright 1991 by Borland International /* PLOTEMP3.C--Example from Getting Started */ /* This program creates a table and a bar chart plot from a set of temperature rea

plotemp3.c

// Borland C++ - (C) Copyright 1991 by Borland International /* PLOTEMP3.C--Example from Getting Started */ /* This program creates a table and a bar chart plot from a set of temperature rea

plotemp3.c

// Borland C++ - (C) Copyright 1991 by Borland International /* PLOTEMP3.C--Example from Getting Started */ /* This program creates a table and a bar chart plot from a set of temperature rea

test.c

/************************************************************************** * 文 件 名:test.c * 功 能:我的小制作-------万年历( 阴历) * 作 者:卓超 * QQ : 305661237 ****************************************

lcd drive.c.bak

//EDM12864B DRIVE// /************************************** PAGEADD为页地址起使 TIERADD为行地址起使 DIS_STARTADD为显示ram与lcm显示对应地址 CTABLE为汉字字库数组 ETABLE为英文字库数组 *********************************

lcd drive.c

//EDM12864B DRIVE// /************************************** PAGEADD为页地址起使 TIERADD为行地址起使 DIS_STARTADD为显示ram与lcm显示对应地址 CTABLE为汉字字库数组 ETABLE为英文字库数组 *********************************

deterministic_boltzmann.m

function [test_targets, updates] = Deterministic_Boltzmann(train_patterns, train_targets, test_patterns, params); % Classify using the deterministic Boltzmann algorithm % Inputs: % train_pattern

wanne1.fis

input input1 5 member small triangular -1 10 20 member small_medium triangular 10 20 30 member medium triangular 20 30 40 member medium_hot triangular 30 40 50 member hot triangular 40 50 65 outputs t

deterministic_boltzmann.m

function [test_targets, updates] = Deterministic_Boltzmann(train_patterns, train_targets, test_patterns, params); % Classify using the deterministic Boltzmann algorithm % Inputs: % train_pattern