bp_pso

基于BP网络预测的matlab程序，可以用于BP网络预测，matlab编译通过(BP network based on the forecast matlab procedures, can be used in BP network prediction, matlab compiler through)

exercice for matlab machine learning code

说明：  folyd用来处理图论中最短路径问题。对传统的folyd算法进行了优化。(folyd to deal with the shortest path in graph theory problem. Folyd the traditional optimization algorithm.)

角点是图像的重要特征，一般指曲率大的边缘点，该代大戏是用MATLAB编写的角点检测算子。(corner image is an important characteristic of large curvature generally refers to the brink, The show is substituting prepared using MATLAB corner detection operator.)

预测控制，DMC算法，对于理解预测控制原理非常有用的程序(Predictive control, DMC algorithm ，for understanding predictive control principle is very useful program)

这是复旦大学的matlab培训教材，内容很好，讲解详细，适合想快速入门的同学(Fudan matlab training materials, the content is very good, explaining in detail, for Quick Start students)

M序列信号算法仿真在系统辨识中有着很大的应用前景。多谐差相方法辨识精度很高有着很苛刻的要求，要求已知辨识参数个数已知并且需要整周截断。而M序列信号的测试方法没有这个方面的要求。其辨识未知模型时，可以用最小二乘算法观察辨识系统的精度来确定模型的阶次。本算法里面不但给出了用于M序列生成的本原多项式计算方法，同时编写了M序列信号的生成算法，并编写了相关辨识方法的算法。(M sequence signal simulation algorithm for identification in the system have great application prospects. Identification of multi-harmonic differential phase method with high precision has very stringent requirements, demand parameters are known to identify the number of known and need to cut off the whole week. The M sequence signal testing methods do not have this requirements. Its identification unknown model, you can observe the identification system using least-squares algorithm to determine the accuracy of the model order times. This algorithm is used which not only gives the M sequence generated by primitive polynomial method of calculation as well as prepare the M sequence signal generation algorithm, and the preparation of the relevant identification method algorithms.)

说明：  智力游戏 十全十美的MATLAB程序解决方法，效率还是不错的(Puzzle MATLAB program perfect solution, the efficiency is still good)

source code for different distribution models

说明：  通过比较自编MATLAB 的k-means 算法程序和SPSS 中自带的k-means聚类工具，对两个数据集聚类，并分析了聚类结果。(By comparing the k-means algorithm program of self-compiled MATLAB with the K-means clustering tool of SPSS, two data sets are clustered and the clustering results are analyzed.)