suvmultipath-ray-leigh

实现聚类K均值算法： K均值算法：给定类的个数K，将n个对象分到K个类中去，使得类内对象之间的相似性最大，而类之间的相似性最小。(achieving K-mean clustering algorithms : K-means algorithm : given the number of Class K, n objects assigned K to 000 category, making such objects within the similarity between the largest category of the similarity between the smallest.)

单色光（波）的双缝干涉实验的简单模拟：电磁场与微波技术、光学实验中，经常需要进行类似的干涉衍射实验，但受实验环境影响，结果误差大，用仿真模拟可以获得直观且纯净的结果。(Monochromatic light (wave), a simple simulation of the single-slit diffraction experiment: the electromagnetic field and microwave technology, optical experiments, often need similar interference diffraction experiments, but experimental environmental impact, results of large errors, the simulation can be intuitive and pure results.)

MATLAB实现协同过滤。可以实现协同过滤算法，对诸如电影、书籍等进行推荐(cross-filter with matlab)

说明：  在二维平面内生成随机点并构造二维Voronoi图(Construction of 2D Voronoi diagram with random points)

连续多组分（三元）精馏塔的模拟计算，用matlab实现，经典教程(multi components continous distillation column simulation with matlab, a classic tutorial.)

用Matlab编程，实现解决该问题的单样本训练BP网络，设置一个停止迭代的误差Emin和最大迭代次数。在调试过程中，通过不断调整隐层节点数，学习率η，找到收敛速度快且误差小的一组参数。产生均匀分布在区间[-4，4]的测试样本，输入建立的模型得到输出，与Hermit多项式的期望输出进行比较计算总误差（运行5次，取平均值）(Using Matlab programming, to solve the problem of single sample training BP network, set a stop error iterations Emin and the maximum number of iterations. In the debugging process, by continuously adjusting the hidden layer nodes, learning rate η, fast convergence and find a set of parameters small errors. Produce a uniform distribution in the interval [4,4] of the test sample, the model has been established input output with the expected output Hermit polynomial calculated by comparing the total error (run 5 times the average))

machine learning 方面有关于The Bayes Classifier的资料，语言是python(machine learning aspects have The Bayes Classifier information about language is python)

Fuzzy Arithmetic with matlab code

此资料对fmincon优化函数的功能进行了详细的描述，对我们在编程中对优化函数的使用很有帮助。(This information is optimized function fmincon functions were described in detail in our programming for optimizing the use of helpful functions.)

有限单元法基础(第2版) 配套Matlab源代码(The basis of the finite element method (2))