bayes_classifier

程序6：遗传算法工具箱使用例子； 程序7：多种群遗传算法的函数优化； 程序8：基于量子遗传算法的函数寻优； 程序9：基于遗传算法的多目标优化算法； 程序10：基于粒子群算法的多目标搜索算法(Program 6: examples of the use of genetic algorithm toolbox Program 7: multi-population genetic algorithm function optimization Program 8: a function based on quantum genetic algorithm optimization Program 9: Based on the genetic algorithm for multi-objective optimization algorithm Program 10: Based on the particle swarm optimization algorithm for multi-objective search)

说明：  模糊神经网络的很好用，例程，非常好用，适合新手(Fuzzy neural network is very easy to use!!!!!!!!!!!!!!!!!!!!)

Add for matlab.Can do orienting plus shraping.

Adobe Photoshop toolbox.Version 1.0 13-Dec-2006。photoshop中的matlab工具包，包括54个M文件，能够实现在matlab中调用photoshop的操作函数，并将处理结果传回matlab.也可以将matlab工作空间里的图像矩阵传送到photoshop中进行处理并动态返回结果. 该工具包从CS4中提取得到(其他版本没有测试过！)，安装时直接解压缩到photoshop文件夹下，按照压缩包中的pdf说明文档在matlab中添加路径后即能够使用，并能够在help中看到一个photoshop toolbox.(Adobe Photoshop toolbox.Version 1.0 13-Dec-2006. photoshop in matlab toolkit, including 54 M files, photoshop function call operation can be achieved in matlab, and the results returned matlab. too matlab workspace in the image matrix can be transferred to photoshop for processing and dynamic returns the result. toolkit extract obtained from CS4 (other versions not tested!), unzip the installation directly to photoshop folder, according to the compressed package in matlab pdf documentation can add the path after use, and can see in the help of a photoshop toolbox.)

说明：  matlab混合编程系列：matlab与bcb混合编程——使用MATCOM(Matlab mixed programming Series: matlab and bcb mixed programming-using MATCOM)

gilbert strang Computational Science and Engineering

分数阶傅里叶变换 Matlab仿真实现 单分量的LFM信号的检测和参数估计(Fractional Fourier Transform Matlab simulation to achieve a single-component LFM signal detection and parameter estimation)

在MATLAB环境，用M文件编写的产生PRBS序列的程序，可以使用(In the MATLAB environment, preparation of documents produced by M PRBS sequence program, you can use)

The code decribes a gas-solid model to predict the conversion variation with various affecting parameters.Very useful for Matlab rookies

A quantitative analysis of perimeter roughness is carried out to illustrate the degree of roughness of input images.