DS18B20 ying yong de wen jian ben wen wei asm format please use keil to open it
資源簡(jiǎn)介：DS18B20 ying yong de wen jian ben wen wei asm format please use keil to open it
上傳時(shí)間： 2015-06-25
上傳用戶：lps11188
資源簡(jiǎn)介：fei chang hao yong de ruan jian,huan ying lai kan kan
上傳時(shí)間： 2013-12-04
上傳用戶：wweqas
資源簡(jiǎn)介：u pan de ceshi wen jian yuan cheng xu
上傳時(shí)間： 2015-06-04
上傳用戶：yuzsu
資源簡(jiǎn)介：yaosuo de yuan wen jian kai fa huan jing: c
上傳時(shí)間： 2014-01-18
上傳用戶：pompey
資源簡(jiǎn)介：dan lian bian tuo wen jian
上傳時(shí)間： 2016-02-25
上傳用戶：ZJX5201314
資源簡(jiǎn)介：yong VerilogHDL yu yan bianxie de pinlv fa sheng qi,shi yong ISE ruan jian da kai.
上傳時(shí)間： 2017-06-12
上傳用戶：lijinchuan
資源簡(jiǎn)介：cao ni ma ,hai yao chuan shen me wen jian
上傳時(shí)間： 2017-07-07
上傳用戶：13681659100
資源簡(jiǎn)介：shu biao and jian pan zi liao,shi yong de o.
上傳時(shí)間： 2017-08-06
上傳用戶：思琦琦
資源簡(jiǎn)介：fei chang you yong de cheng xu
上傳時(shí)間： 2015-06-17
上傳用戶：fxf126@126.com
資源簡(jiǎn)介：zhe ge hen hao yong de dajia laikankan ba
上傳時(shí)間： 2014-01-08
上傳用戶：yulg
資源簡(jiǎn)介：hen bu cuo de ruan jian
上傳時(shí)間： 2014-01-06
上傳用戶：q123321
資源簡(jiǎn)介：winapi hen xiang xi fei chang hao xi wang da jia hui xi huan ,wo jing chang shi yong de .
上傳時(shí)間： 2013-12-08
上傳用戶：kbnswdifs
資源簡(jiǎn)介：匯編語(yǔ)言程序設(shè)計(jì) 一個(gè)小程序xia zai ren yuan ke ying yong
上傳時(shí)間： 2016-06-24
上傳用戶：ecooo
資源簡(jiǎn)介：大智慧股票-手機(jī)版henhao yong de
上傳時(shí)間： 2013-12-26
上傳用戶：四只眼
資源簡(jiǎn)介：zui hao yong de VBxitong
上傳時(shí)間： 2013-12-17
上傳用戶：爺?shù)臍赓|(zhì)
資源簡(jiǎn)介：guan yu pai ke xi tong de ruan jian
上傳時(shí)間： 2013-12-30
上傳用戶：erkuizhang
資源簡(jiǎn)介：guan yu pai ke xi tong de ruan jian
上傳時(shí)間： 2013-12-02
上傳用戶：徐孺
資源簡(jiǎn)介：guan yu pai ke xi tong de ruan jian
上傳時(shí)間： 2014-12-02
上傳用戶：小草123
資源簡(jiǎn)介：guan yu pai ke xi tong de ruan jian
上傳時(shí)間： 2017-07-16
上傳用戶：410805624
資源簡(jiǎn)介：Contador de 0 a 9999. Esta en asm y probado
上傳時(shí)間： 2013-12-21
上傳用戶：jiahao131
資源簡(jiǎn)介：金屬結(jié)構(gòu)制造與安裝
上傳時(shí)間： 2013-06-01
上傳用戶：eeworm
資源簡(jiǎn)介：基于LabVIEW和單片機(jī)的空調(diào)溫度場(chǎng)測(cè)量系統(tǒng)的研究:室內(nèi)溫度是空調(diào)系統(tǒng)舒適性的重要指標(biāo),對(duì)其及時(shí)、準(zhǔn)確地測(cè)量顯得非常重要。介紹單片機(jī)AT89C51 和數(shù)字式、單總線型溫度傳感器DS18B20 組成矩形測(cè)量網(wǎng)絡(luò)采集空調(diào)室內(nèi)40 點(diǎn)溫度,LabVIEW作為開(kāi)發(fā)平臺(tái),二者之間通過(guò)...
上傳時(shí)間： 2014-05-05
上傳用戶：KSLYZ
資源簡(jiǎn)介：This book evolved over the past ten years from a set of lecture notes developed while teaching the undergraduate Algorithms course at Berkeley and U.C. San Diego. Our way of teaching this course evolved tremendously over these years in a ...
上傳時(shí)間： 2013-11-11
上傳用戶：JamesB
資源簡(jiǎn)介：This document describes the MPI and MPI standards They are both extensions to the MPI standard The MPI part of the document contains clarications and corrections to the MPI standard and denes MPI The MPI part ...
上傳時(shí)間： 2015-05-15
上傳用戶：CHENKAI
資源簡(jiǎn)介：n this demo, we show how to use Rao-Blackwellised particle filtering to exploit the conditional independence structure of a simple DBN. The derivation and details are presented in A Simple Tutorial on Rao-Blackwellised Particle Filtering fo...
上傳時(shí)間： 2013-12-17
上傳用戶：zhaiyanzhong
資源簡(jiǎn)介：On-Line MCMC Bayesian Model Selection This demo demonstrates how to use the sequential Monte Carlo algorithm with reversible jump MCMC steps to perform model selection in neural networks. We treat both the model dimension (number of neur...
上傳時(shí)間： 2016-04-07
上傳用戶：lindor
資源簡(jiǎn)介：In this demo, we show how to use Rao-Blackwellised particle filtering to exploit the conditional independence structure of a simple DBN. The derivation and details are presented in A Simple Tutorial on Rao-Blackwellised Particle Filtering f...
上傳時(shí)間： 2013-12-14
上傳用戶：小儒尼尼奧
資源簡(jiǎn)介：In this demo, I use the EM algorithm with a Rauch-Tung-Striebel smoother and an M step, which I ve recently derived, to train a two-layer perceptron, so as to classify medical data (kindly provided by Steve Roberts and Will Penny from EE, I...
上傳時(shí)間： 2016-04-15
上傳用戶：zhenyushaw
資源簡(jiǎn)介：This demo nstrates how to use the sequential Monte Carlo algorithm with reversible jump MCMC steps to perform model selection in neural networks. We treat both the model dimension (number of neurons) and model parameters as unknowns. The de...
上傳時(shí)間： 2014-01-18
上傳用戶：康郎
資源簡(jiǎn)介：This demo nstrates the use of the reversible jump MCMC algorithm for neural networks. It uses a hierarchical full Bayesian model for neural networks. This model treats the model dimension (number of neurons), model parameters, regularisatio...
上傳時(shí)間： 2014-01-08
上傳用戶：cuibaigao
