introducir un mensaje despues de un enter las letras se caen programa que usando interrupciones del Bios y lenguaje enssamblador en borlan c++
标签： interrupciones introducir programa despues
上传时间： 2013-12-18
上传用户：稀世之宝039
hola, este es un programa programado chao
标签： programado programa hola este
上传时间： 2013-12-16
上传用户：pompey
hola, este es un programa chao
上传时间： 2013-11-27
上传用户：lgnf
c un tres bon code a executer sous platform windows , compilateur visual studio (full) 2008 .
标签： compilateur executer platform windows
上传时间： 2017-09-03
上传用户：vodssv
Este código lo uso en un 16f877 y me sirve para poder guardar en la eeprom 24lc256 los valores de la fecha y la hora que me entrega un ds1307. Espero le sirva a alguien. Turco
标签： guardar valores 16f877 eeprom
上传时间： 2017-09-28
上传用户：变形金刚
The subject which is to us propos¨¦ is as follows: calculation of the degr¨¦ d¡ ¯ inconsistance d¡ ¯ un logical program possibilist in C++. We thus work on a logical program possibilist, it be-¨¤-statement a logical program resulting from non-classique logic. The goal first of this project is of d¨¦ terminer if a logical program is consisting or not of share the calculation of sound degr¨¦ d¡ ¯ inconsistance.
标签： brvbar calculation subject follows
上传时间： 2013-12-18
上传用户：yulg
基于Volterra滤波器混沌时间序列多步预测 作者：陆振波，海军工程大学 欢迎同行来信交流与合作，更多文章与程序下载请访问我的个人主页 电子邮件：luzhenbo@sina.com 个人主页：luzhenbo.88uu.com.cn 参考文献： 1、张家树.混沌时间序列的Volterra自适应预测.物理学报.2000.03 2、Scott C.Douglas, Teresa H.-Y. Meng, Normalized Data Nonlinearities for LMS Adaptation. IEEE Trans.Sign.Proc. Vol.42 1994 文件说明： 1、original_MultiStepPred_main.m 程序主文件,直接运行此文件即可 2、original_train.m 训练函数 3、original_test.m 测试函数 4、LorenzData.dll 产生Lorenz离散序列 5、normalize_1.m 归一化 6、PhaSpaRecon.m 相空间重构 7、PhaSpa2VoltCoef.dll 构造 Volterra 自适应 FIR 滤波器的输入信号矢量 un 8、TrainTestSample_2.m 将特征矩阵前 train_num 个为训练样本，其余为测试样本 9、FIR_NLMS.dll NLMS自适应算法
上传时间： 2013-12-16
上传用户：talenthn
Robustnesstochangesinilluminationconditionsaswellas viewing perspectives is an important requirement formany computer vision applications. One of the key fac-ors in enhancing the robustness of dynamic scene analy-sis that of accurate and reliable means for shadow de-ection. Shadowdetectioniscriticalforcorrectobjectde-ection in image sequences. Many algorithms have beenproposed in the literature that deal with shadows. How-ever,acomparativeevaluationoftheexistingapproachesisstill lacking. In this paper, the full range of problems un-derlyingtheshadowdetectionareidenti?edanddiscussed.Weclassifytheproposedsolutionstothisproblemusingaaxonomyoffourmainclasses, calleddeterministicmodeland non-model based and statistical parametric and non-parametric. Novelquantitative(detectionanddiscrimina-ionaccuracy)andqualitativemetrics(sceneandobjectin-dependence,?exibilitytoshadowsituationsandrobustnesso noise) are proposed to evaluate these classes of algo-rithms on a benchmark suite of indoor and outdoor videosequences.
标签： Robustnesstochangesinillumination conditionsaswellas perspectives requirement
上传时间： 2014-01-23
上传用户：whenfly
1）先利用文件Lorenz.m求解出Lorenz系统，并把其数组保存成名字为un.mat的文件。 2）直接运行文件Lorenz1.m 便可统计出Lorenz系统的轨道
标签： Lorenz
上传时间： 2013-11-27
上传用户：nairui21
Advanced_modelling_in_finance_using_Excel_and_VBA（pdf） The book adopts a step-by-step approach to understanding the more sophisticated aspects of Excel macros and VBA programming, showing how these programming techniques can be used to model and manipulate financial data, as applied to equities, bonds and options. The book is essential for financial practitioners who need to develop their financial modelling skill sets as there is an increase in the need to analyse and develop ever more complex what if scenarios.
标签： Advanced_modelling_in_finance_usi ng_Excel_and_VBA step-by-step approach
上传时间： 2013-12-14
上传用户：txfyddz
