The East China Sea Lian

完全用C语言编写的员工管理系统，界面不太智能化，但可以做为一个参考！-Entirely in C language staff management system, not too intelligent interface, but can be used as a reference!

经典的结构设计资料 配合很美观的实物效果图加以说明-classic design of the data structure with very magnificent physical effects of the map to illustrate

spi接口的vhdl实现，所用器件和ip为xilinx的-spi interface VHDL realize, by ip for Xilinx devices and the

基于matlab的三相逆变器仿真模型 以数学公式为基础，便于仿真验证-The matlab-based simulation model of three-phase inverter based on mathematical formulas in order to facilitate simulation

C＋＋语言常用算法集-C++ language commonly used algorithm Set

这是搜集的TIME评选出了08年50个最棒的网站-This is a collection of TIME selected the 50 best in 2008 website

由altec公司编辑的一个介绍vhdl语言的软件，适合初学者使用-altec companies from the editors introduced a vhdl language software for beginners

　　用Ｃ语言编写的时间年份程序，只要你输入一个数后，便可以马上看到结果．-C language prepared by the time the year procedures, as long as you enter a number, they can immediately see the result.

用vc++实现了一个标准的OPC DA服务器！可以实现工业以太网数据采集并为实现了标准OPC接口的客户程序进行数据交互！-Using vc++ to achieve a standard OPC DA server! Industrial Ethernet can be achieved for the realization of data acquisition and a standard OPC client interface for data exchange!

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