VC++繁体简体转换 支持文件操作

这是他们的程序，AVR微型闪光器

100个asp简单学习例子-100 asp learning simple example

闭区间覆盖问题，是用贪心实现的！程序很简洁啊！-closed interval coverage is used to achieve the greedy! Very simple procedures ah!

简洁动感的Flash图文导航和fla源文件——图文滚动菜单，打开后自动滚动菜单中的所有内容，从右向左滚动，当然这个滚动顺序自己是可以调节的，要在Flash脚本中改，你也可参考学习下Flash AS脚本的编写技巧，这里所使用的As脚本相对简单哦。

VC中使用 Flash 美化你的程序-VC Flash beautify your procedures

Delphi文件分割软件源码，使用了TabCtrl控件，将文件分割成指定大小的文件块。 　　// 图标 　　Cool Icon Liumazi.ico 　　Icon1 Icon Icon1.ico 　　Icon2 Icon Icon2.ico 　　Icon3 Icon Icon3.ico 　　// 光标 　　Drag cursor Drop.cur 　　// 字串 　　STRINGTABLE 　　BEGIN 　　 1,"指定准备分割的文件" 　　 2,"指定分割后存放位置" 　　 3,"指定合并后存放位置" 　　END

vb,agilent 816x vxipnp control library application.

利用已给的探空资料进行文件的读写编程（文件为不规则命名），诊断位温，相对湿度，分析几天内大气的垂直廓线变化特征。并调用MATLAB画出相应的垂直廓线图

介绍了基于FPGA的多功能计程车计价器的电路设计。该设计采用了可编程逻辑器件FPGA的ASIC设计，并基于超高速硬件描述语言VHDL在Xilinx公司的SpartanⅡ系列的2sc200PQ208-5芯片上编程实现了整个系统的控制部分，整个自动控制系统由四个模块构成：秒分频模块、控制模块、计量模块和译码显示模块。该设计不仅仅实现了显示计程车计费的功能，其多功能表现在它可以通过选择键选择显示计程车累计走的总路程和乘客乘载的时间。计时、计程、计费准确可靠，应用于实际当中有较好的实用价值和较高的可行性。-introduced FPGA-based multifunctional taxi meter circuit design. The design using programmable logic device FPGA ASIC design, and for the super-high-speed VHDL hardware description language in the company Xilinx Spartan II Series 2 sc 200PQ208-5 chip programming of the control system as a whole, Automatic control the entire system from four modules : a seconds-frequency module, control module, metrology modules and decoding module. The design not only achieved a taxi showed Billing functions, Multifunctional its performance through its keypad revealed taxi taking the cumulative total journey of the passengers took the set time. Program, log, billing is accurate, reliable and practical application of them have good practical value and the

machine learning, accuracy estimation, cross-validation, bootstrap, ID3, decision trees, decision graphs, naive-bayes, decision tables, majority, induction algorithms, classifiers, categorizers, general logic diagrams, instance-based algorithms, discretization, lazy learning, bagging, MineSet. -machine learning, accuracy estimation, cross-validation, bootstrap, ID3, decision trees, decision graphs, naive- bayes, decision tables, the majority, induction algorithms, classifiers, categorizers, general logic diagrams. instance-based algorithms, discretization. lazy learning, bagging, MineSet.