tianchongtuxiao

Matlab在时间序列分析中的应用，一般可以用excel实现时间序列的分析，在这里也可以用MATLAB(The application of Matlab in time series analysis, generally can use excel realize time series analysis, here you can also use Matlab)

构造函数实现雪花分形，但是MATLAB运行当迭代次数过多会存在不足，实现较慢！(Constructor to achieve fractal snowflake, but the MATLAB run when the number of iterations too many deficiencies to implement slow!)

基于改进的粒子群算法，可以用来求解函数优化问题(Based on Improved Particle Swarm algorithm, can be used to solve the function optimization problem)

本文将排课五要素绑定、封装成课元、课栈两个向量，并以二维权值矩阵描述课元 和课栈之间的关联系。 提出了最佳匹配和遗传算法的排课算法，以随机生成的二维数字矩阵来反映课元和 课栈的关联权重，对数字矩阵组处理和最佳匹配得到的匹配偶图组为遗传算法的初始种 群，以排课各种原则的加权和为目标函数，在遗传算子控制下迭代来寻求更优的匹配结 果即使目标函数最小的偶图匹配结构，进而得到满意的排课结果。 提出了关联匹配和禁忌搜索的排课算法，以随机二维数字矩阵描述课元和课栈之问 的关联权重，按照重权优先并根据正确性原则进行约简，获得课元和课栈之间的匹配偶 图。在此基础上，引入禁忌搜索算法，以排课的完备性原则、合理性原则和人性化原则 的加权和为目标函数，以随机二维权值矩阵生成的匹配偶图为初始解，对二维权值矩阵 进行扰动构成搜索邻域，以生成的匹配偶图为禁忌对象，采用全局藐视准则，获得最优 的排课方案。 以Matlab为平台，利用Excd数据库和Mallab的互联实现数据交换，编写了两套 算法的应用程序，通过实例来验证两套排课算法，结果表明两套算法是可行的。(Arranging the five elements of this paper, binding, packaging into a class element, class stack of two vectors and matrices described by two classes per Rights And the relationship between class stack link. Offers the best match and Genetic Algorithm Platoon algorithm to randomly generated two-dimensional figures to reflect the class element and matrix Class stack associated with weight, the digital matrix group received treatment and the best matching group bipartite graph matching the initial kind of genetic algorithm Group to the weighted course arrangement of principles and the objective function, under the control of the genetic operator iteration to seek the better match Results Results even if the objective function structure of the smallest bipartite graph matching, and then Timetabling satisfactory results. Match the proposed association Timetabling algorithm and tabu search, a random two-dimensional digital matrix element and the class description class stack of Q)

Simple Matlab Code for Neural Network Hebb Learning Rule. It is good for NN beginners students. It can be applied for simple tasks e.g. Logic and , or , not and simple images classification.

为《现代信号处理》中的信号检测基本理论的集中估计理论的MATLAB仿真程序(" Modern Signal Processing" in the concentration of the basic theory of signal detection theory MATLAB simulation program estimates)

小波消噪，采用“db4”母小波函数进行三层分解(Wavelet de-noising, using " db4" mother wavelet function triple decomposition)

添加噪声处理，解耦，恢复原信号，代码里有很完整的注释和解释。( Add noise processing, Decoupling, restore the original signal, )

压缩感知原理在盲信号分离中的应用.PDF(The Application of Compressed Sensing in Blind Source Separation)

基于BP神经网络的图形图像压缩算法 可以运行(BP neural network can run a graphical image compression algorithm based on)