dianlixitongzantaiwending

非线性拟合，可以根据已经数据，计算出对应的数据(Nonlinear fitting, can have data to calculate the corresponding data)

用MATLAB求平均路径长度，本程序很小(Using MATLAB and the average path length of the program is very small)

说明：   2.wps ：为作业最终的仿真结果与分析 正态分布：.cpp为由C++编写的主程序以获取仿真数据，.txt为存储仿真数据的文档，.m为由matlab根据获取的仿真数据画图的结果，其中1、2、3分别为N（0,1）、N（0,4.26）、N（-2.5,1）的情况 瑞利分布：.cpp为由C++编写的主程序以获取仿真数据，.txt为存储仿真数据的文档，.m为由matlab根据获取的仿真数据画图的结果，其中1、2、3分别为Ray（1）、Ray（0.36）、Ray（3.4）的情况 泊松分布：.cpp为由C++编写的主程序以获取仿真数据，.txt为存储仿真数据的文档，.m为由matlab根据获取的仿真数据画图的结果，其中1、2、3、4分别为Lamda（0.2）、Lamda（1）、Lamda（6）、Lamda（10）的情况 0.m为将三或四种情况画到一副图中并进行仿真结果对比的图像 ((2.wps:) for the job the final simulation results and analysis of the normal distribution:. Cpp written by C++ main program to obtain the simulation data. Txt document for storing simulation data, m grounds matlab drawing according to the simulation data obtained the results, wherein 1, 2, 3 respectively, for the N (0,1), N (0,4.26), N (-2.5,1), of Rayleigh distribution: CPP grounds C++ prepared by the main program to obtain its simulation data, txt for storage simulation data documents, the. m grounds MatLab drawing the results according to the simulation data obtained, wherein 1,2,3 respectively ray (1), ray (0.36), the case of the ray (3.4) poise the loose distribution: cpp grounds written main program C++ to get the simulation data txt simulation data is stored documents, m grounds matlab based on the results of the simulation data obtained drawing, in which 1, 2, 3, 4, respectively 0.m case of Lamda (0.2), Lamda (1), Lamda (6), Lamda (10) of the three or four painting to a graph, )

多元统计分析的matlab程序代码 对于初学者很有用(Multivariate statistical analysis of the matlab code is useful for beginners)

matlab实现模糊C均值算法对样本进行分类。附件中国有样本库。( matlab in fuzzy c means in sorting)

一种关于javaweb与matlab混编的方法(An javaweb and matlab mixed approach on)

optical character recocognition .

说明：  本人经过对最小二乘法拟合程序进行了归纳汇总编写了这个MATLAB小程序，一般情况都适用。(General least squares fitting procedure code)

在matlab环境下的一个朴素贝叶斯分类器，大家可以参考下(Matlab environment a Naive Bayes classifier, we can refer to the following)

函数的近似式，构造函数的逼近方法，从而得到比较准确的函数图象(Is often necessary to obtain the function approximation constructor approximation method)