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此代码研究的是力学上的断裂问题，从理论上研究了断裂过程中介质的受力形态。-This code is the study of fracture mechanics problems, from a theoretical study of the fracture process in the form of the medium force.

本程序功能可以实现劲舞团服务器的游戏绿字公告效果，效果十分出色-The program features can be achieved Audition green character of the game server announcement effect, the effect is very good

说明：  用于心音信号包络的分割，信号处理的技术领域，具体的说，涉及一种心音信号周期的检测与心音的状态分割方法。其中，心音的状态分割方法是在时间维度上判断某时刻某段时长内出现的心音状态的类别。(Envelope Segmentation of Heart Sound Signals)

NOMA仿真，能够实现两用户的NOMA系统仿真的实现，对于初入NOMA者非常有用(NOMA simulation, which can realize the simulation of two-user NOMA system, is very useful for new entrants to NOMA.)

自动计算fir滤波器系数的工具，不妨一试-Automatic calculation of filter coefficients fir tools, try

一款flash幻灯切换+图片滚动效果，很适合影视站使用，左侧显示标题内容，鼠标放上后右侧大图立即跟着切换显示，当然了，大图片的右下角也可以控制图片切换，有按钮之类的控制键。图片切换的过程中使用滚动的效果。

對語音作一段前置處理，史的聲音比較圓滑，需要一段語音(right voice for a pre-processing, the history of the voice is relatively smooth, it would take a voice)

一个C#课程设计作品，源码+文档。一个个人使用的C#记帐软件，C#理财软件、财务管理程序源码，功能有帐户管理、个人财务、口令修改、导入、导出XML、实用计算器等，有些功能只作了菜单，并没有添加功能，内有设计文档、各个类的说明等资料。

这里我上传了三个使用dos的用于扫描，操作远程进程的小工具供大家使用。-Here, I uploaded three dos for the use of scanning, remote operation of the process we use for small tools.

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