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遗传算法的应用实践和本人的心得体会及各种实际例子的分析应用(遗传算法)

使用matlab simulink 编写的钟摆运动(use matlab simulink to do a clock move)

flow in porous media by lbm 3d

GUI用户界面，通过输入缝宽、双缝间距、电子个数等参数，演示出电子双缝衍射的规律。要求： （1）由用户任意输入可调参数的界面； （2）根据电子双缝衍射的规律，得到不同入射电子数目时的衍射图像和动态演示动画； （4）模拟出观察屏上的电子双缝衍射的强度分布图样。 (GUI user interface by entering the slit width, double-slit spacing, number of parameters, to demonstrate the electronic double-slit diffraction law. Requirements: (1) any input by the user interface of adjustable parameters (2) According to the law of electronic double-slit diffraction, get a different number of incident electron diffraction images and dynamic animation (4) simulate the viewing screen on the electronic double-slit diffraction intensity distribution pattern.)

RGB color graph for matlab color codes. Very useful

指纹识别源代码。思路完全是按照文件夹中网页里介绍的方法，即提取指纹中的分叉点和端点的位置作为指纹的特征值。由于今天太忙，对图像的预处理作的很失败，程序会提取出很多伪点，而指纹轮廓也没有想出办法过滤。汗，你看看能不能参考把。 三个m文件，fd.m提取指纹中的分叉点，fd2.m提取指纹中的端点，Cpoint.m则是前两个文件运行中需要调用的掩模函数。(fingerprint identification code. Thinking is entirely in accordance with the folder on the website Lane, that the fingerprints of the bifurcation point and endpoint position as a fingerprint eigenvalues. As today are too busy, the image preprocessing for the failure, the program will extract a lot of pseudo-point, and the fingerprint profile nor find a way to filter. Khan, you can look at the information put. 3 m documents, fingerprints fd.m the bifurcation point, fd2.m fingerprints of endpoint, Cpoint.m are two documents before the operation need to call the mask function.)

这些是薛定宇控制系统辅助设计第五章中部分题目的simulink的设计图及代码(Xue Dingyu control system design and code-assisted design of the subject of the fifth chapter part simulink)

图像直方图的绘制，此程序提供两种方法，一是利用matlab自带得工具箱绘制，另一种是利用统计学的方法编程实现，最后对两种方法进行比较(Image histogram drawing, this program provides two methods, one using matlab toolbox comes too draw, another is the use of statistical methods to program implementation, and finally to compare the two methods)

为判断聚类结果质量的好坏，需要一个客观的评价指标来评价聚类结果的合理性。聚类性能评价方法通常分为三种：外部评价法，内部评价法，相对评价法。外部评价法将聚类结果得到类标签和已知类标签进行比较，此评价法的前提是数据集样本的类标签已知(In order to judge the quality of clustering results, good or bad, the need for an objective evaluation to assess the reasonableness of the clustering results. Clustering performance evaluation method is usually divided into three types: external evaluation method, internal evaluation method, relative evaluation method. External evaluation method of clustering results to obtain class labels and the known class labels are compared, the premise of this evaluation method is a class label known sample of the data set)

this is an method for mode estimation with random decerment technique for ambient techniqe with wavevelet method