DS_SS

本例用五点差分法求解一个二阶偏微分方程，其间用Gauss-Seidel迭代求解(This example uses a five-point difference method for solving second order partial differential equations, during use Gauss-Seidel iterative)

少量投影圆形扫描法获得物象全息图的程序,可以使用3DMax生成一个三维物体的各角度投影图然后使用此程序处理,通过修改参数等可以最终生成全息图.程序测试通过,并可通过重建数值再现.(Circular scanning method to obtain a small amount of projection images hologram program, you can use 3DMax to generate a three-dimensional perspective projection of the object and then use this procedure, by modifying the parameters can ultimately generate holograms. Test procedures, and through numerical reconstruction reproduction.)

这是从matlab上down的源文件。上面显示调试通过(This is down from the matlab on the source file. Shown above debugging through)

vb与matlab混合编程的例子，COM+DLL,非常详细(vb and matlab examples of mixed programming, COM+ DLL, a very detailed)

粗糙集理论属性约简的例子，基于MATLAB实现(This is the use of rough set theory )

自组织特征映射模型(Self-Organizing feature Map)，认为一个神经网络接受外界输入模式时，将会分为不同的区域，各区域对输入模式具有不同的响应特征，同时这一过程是自动完成的。各神经元的连接权值具有一定的分布。最邻近的神经元互相刺激，而较远的神经元则相互抑制，更远一些的则具有较弱的刺激作用。自组织特征映射法是一种无教师的聚类方法。(Self-organizing maps model (Self-Organizing feature Map), that a neural network to accept outside input mode, will be divided into different regions, the regional input modes have different response characteristics, while the process is done automatically . The connection weights of neurons with a certain distribution. Nearest neurons stimulate each other, while distant neurons are mutually inhibitory, with a further some of the weaker stimulus. Self-organizing feature map method is a clustering method without teachers.)

matlab神经网络工具箱的应用·················(matlab neural network toolbox of the application of)

这是一本关于内核源代码分析的好书，希望能给大家带来益处(This is a core source code analysis on the books, we hope that they will benefit)

fingerprinting test,it is very helpful to the learner(fingerprinting test, it is very helpful to the learner)

支持向量机的原理、应用。支持向量机的算法、综述、核函数的定义等(Support vector machine principle, application. Support vector machine algorithm, summarized the definition of kernel function)