按键计数器

C6000DSP的C语言程序示例 一共有3个 内容不错，希望能对有需要的朋友有帮助。-C6000DSP C language program an example of a total of three as well, the hope is to have a friend in need of help.

Pocket 1945 is a classic shooter inspired by the classic 1942 game. The game is written in C# targeting the .NET Compact Framework. This article is my first submission to Code Project and is my contribution to ongoing .NET CF competition.

一个用Dreamweaver制作的留言本，可以进行留言，是一个不错的留言本！-a production of the messages, voice mail can be a good message this!

mfc编程实用教程2-mfc Programming Practical Guide 2

SQL Server 2005 SSIS集成服务

编译原理实验指导，词法分析，语法分析及设计，编译原理课要用-Compiler Construction Principles experimental guidance, lexical analysis, syntax analysis and design, compiler theory class to use

练习训练游戏,游戏规则详见源代码注释部分,全C语言编程....... -practice training game, the rules of the game as detailed source notes, the entire C language programming ...

微软为中国农历编写的系统程序，大家可以-Microsoft for the Chinese Lunar New procedures for the preparation of the system, we can

交通灯控制系统的FPGA设计与实现，红灯亮55s，黄灯亮5s，绿灯亮50s-Traffic Light Control System Design and Implementation of FPGA, the red light 55s, yellow light 5s, green 50s

针对实际对象数学模型不明确而难以控制的问题,采用人工免疫网络的离散模 型与学习算法,将人工免疫系统与神经网络结构的优势相结合,提出了一种基于人工免疫 网络的模式识别算法,构造了对象识别的人工免疫网络模型.该算法综合了网络节点的定 位与参数调整以及对基函数的平滑因子实施调谐等功能,有效地解决了径向基函数 (RBF)神经网络模式识别的两个阶段任务,使模式识别的精度有较大的改进.采用两个不 同对象函数进行的仿真试验表明,该算法具有快速收敛性与较高的准确性. -Mathematical model for the actual object is not clear and difficult to control the problem, the use of artificial immune network model and the discrete learning algorithm, artificial immune systems and neural networks combine the advantages of structure, an artificial immune network based on pattern recognition algorithms, Construction of the object identified by artificial immune network model. the algorithm is a combination of network nodes to adjust the position and parameters as well as the basis function implementation of the smoothing factor, tuning and other functions, to effectively solve the Radial Basis Function (RBF) neural network pattern recognition of two phase of the task, so that the accuracy of pattern recognition have greater impro