introducir un mensaje despues de un enter las letras se caen programa que usando interrupciones del Bios y lenguaje enssamblador en borlan c++
標簽： interrupciones introducir programa despues
上傳時間： 2013-12-18
上傳用戶：稀世之寶039
hola, este es un programa programado chao
標簽： programado programa hola este
上傳時間： 2013-12-16
上傳用戶：pompey
hola, este es un programa chao
上傳時間： 2013-11-27
上傳用戶：lgnf
c un tres bon code a executer sous platform windows , compilateur visual studio (full) 2008 .
標簽： compilateur executer platform windows
上傳時間： 2017-09-03
上傳用戶：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
標簽： guardar valores 16f877 eeprom
上傳時間： 2017-09-28
上傳用戶：變形金剛
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.
標簽： brvbar calculation subject follows
上傳時間： 2013-12-18
上傳用戶：yulg
基于Volterra濾波器混沌時間序列多步預測 作者：陸振波，海軍工程大學 歡迎同行來信交流與合作，更多文章與程序下載請訪問我的個人主頁 電子郵件：luzhenbo@sina.com 個人主頁：luzhenbo.88uu.com.cn 參考文獻： 1、張家樹.混沌時間序列的Volterra自適應預測.物理學報.2000.03 2、Scott C.Douglas, Teresa H.-Y. Meng, Normalized Data Nonlinearities for LMS Adaptation. IEEE Trans.Sign.Proc. Vol.42 1994 文件說明： 1、original_MultiStepPred_main.m 程序主文件,直接運行此文件即可 2、original_train.m 訓練函數 3、original_test.m 測試函數 4、LorenzData.dll 產生Lorenz離散序列 5、normalize_1.m 歸一化 6、PhaSpaRecon.m 相空間重構 7、PhaSpa2VoltCoef.dll 構造 Volterra 自適應 FIR 濾波器的輸入信號矢量 un 8、TrainTestSample_2.m 將特征矩陣前 train_num 個為訓練樣本，其余為測試樣本 9、FIR_NLMS.dll NLMS自適應算法
上傳時間： 2013-12-16
上傳用戶：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.
標簽： Robustnesstochangesinillumination conditionsaswellas perspectives requirement
上傳時間： 2014-01-23
上傳用戶：whenfly
1）先利用文件Lorenz.m求解出Lorenz系統，并把其數組保存成名字為un.mat的文件。 2）直接運行文件Lorenz1.m 便可統計出Lorenz系統的軌道
標簽： Lorenz
上傳時間： 2013-11-27
上傳用戶：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.
標簽： Advanced_modelling_in_finance_usi ng_Excel_and_VBA step-by-step approach
上傳時間： 2013-12-14
上傳用戶：txfyddz
