klippirovanie

说明：  一种最小二乘法的RBF网络 ---------------------------------- radical basis function neural network ------------------------------------------ clear all close all global sp k w2 b2 unitcenters alldatanum=400 traindatanum=300 testdatanum=100 sp=8 errorlimit=0.1 u=rand(1,alldatanum+10) y=zeros(1,alldatanum+10) for i=4:alldatanum+3 y(1,i)=1.5*y(1,i-1)*y(1,i-2)*y(1,i-3)/(3+y(1,i-1)+y(1,i-2)*y(1,i-2)+... y(1,i-3)*y(1,i-3)*y(1,i-3))+u(1,i)+u(1,i-1)+u(1,i-2) 。。。。。。。。。。。。。。。。。。。。。。。。。。。。。。。。(radical basis function neural network ------------------------------------------ clear all close all global sp k w2 b2 unitcenters alldatanum=400 traindatanum=300 testdatanum=100 sp=8 errorlimit=0.1 u=rand(1,alldatanum+10) y=zeros(1,alldatanum+10) for i=4:alldatanum+3 y(1,i)=1.5*y(1,i-1)*y(1,i-2)*y(1,i-3)/(3+y(1,i-1)+y(1,i-2)*y(1,i-2)+... y(1,i-3)*y(1,i-3)*y(1,i-3))+u(1,i)+u(1,i-1)+u(1,i-2) 。。。。。。。。。。。。。。。。。。。。。。。。。。。。。。。。)

　K-means算法是最为经典的基于划分的聚类方法，是十大经典数据挖掘算法之一。K-means算法的基本思想是：以空间中k个点为中心进行聚类，对最靠近他们的对象归类。通过迭代的方法，逐次更新各聚类中心的值，直至得到最好的聚类结果。(K-means algorithm is based on the division of the classic clustering method, is ten classic one of data mining algorithm. K-means the basic idea of the algorithm is: to the space K point as the center of the cluster analysis, near their object classification. Through the iterative method, each successive update clustering center value, until get the best clustering results. )

Examples of the material for the disc, including two folders: Schematic + flowchart , source code. Where: ch03 the corresponding file in Chapter 3, ch04 the corresponding file in Chapter 4, and so on.(Examples of the material for the disc, including two folders: Schematic+ flowchart , source code. Where: ch03 the corresponding file in Chapter 3, ch04 the corresponding file in Chapter 4, and so on.)

用matlab GUI实现的可以在当前界面做加减乘除、乘幂的界面程序。(a GUI that can do add,minus,mutli,divide and power)

局域图像局部拟合项信息的图像分割matlab 代码(image segmentation code based on image local fitting term )

在matlab环境下，构造LDPC码的校验矩阵的各种方法，包括Gallager构造法，Mackay构造法，PEG构造法，对以后的编译码算法有很大的帮助。(In the matlab environment, various methods LDPC code parity check matrix structure, including Gallager construction law, Mackay construction law, PEG construction method, after encoding and decoding algorithms are of great help.)

lms滤波算法的MATLAB源代码,lms为变步长最小均方自适应滤波算法(matlab source code of lms algorithm. lms is the least mean square adaptive filter algorithm)

matlab 实现PCA算法，可以输出识别率，有详细注释，值得一用(Face Recognition Using PCA algorithm procedure, with annotations, 88 recognition rate )

在matlab r2010a环境下编写的newton-lagrange算法，可以求解约束优化问题，程序返回目标函数值及拉格朗日乘子。(In matlab r2010a environment prepared newton-lagrange algorithms can solve constrained optimization problems, the program returns the value of the objective function and Lagrange multipliers.)

power system stability equal area matlab code