cep

线性递减权重粒子群优化算法是从随机解出发，通过迭代寻找最优解，它也是通过适应度来评价解的品质，但它比遗传算法规则更为简单，它没有遗传算法的“交叉”(Crossover) 和“变异”(Mutation) 操作，它通过追随当前搜索到的最优值来寻找全局最优。这种算法以其实现容易、精度高、收敛快等优点引起了学术界的重视，并且在解决实际问题中展示了其优越性。 (Linear decreasing weight particle swarm optimization starting from random solutions to find the optimal solution by iteration, it is also the fitness to evaluate the quality of the solution, but it is much simpler than the genetic algorithm rules, it is not a genetic algorithm " cross" (Crossover) and " variation" (Mutation) operation, which follow the current search for the optimal value to find the global optimum. The advantage of this algorithm is its ease of implementation, high accuracy, fast convergence and attracted the attention of the academic community, and demonstrated its superiority in solving practical problems.)

胡广书源代码，《现代信号处理》比较实用，总体不错(Hu Guang-shu source code)

说明：  Iris数据集的分类程序，包括线性分类器实验，BP网络分类器实验，以及异或数据的BP网络分类实验，外带试验报告(Iris data set of classification procedures, including linear classification experiment, BP network classifier experiments, and different BP networks or data classification experiment, take-test report)

PSO algorithm matlab code

matlab file for cample bozorgnaia 2004 attenuation code

Design a fuzzy system to approximate a function the function may not be defined analytically but the values of the function in n point is defined for example : x E [-3 3] g(x)=sin(x) the approximation is calculated a fuzzy set design our fuzzy function approximates sin function with an error less than 0.2 note : this program uses a function named isinrange so copy it to your directory

rrt算法与一定概率偏向目标点的rrt算法，并对路径进行处理(RRT algorithm and a certain probability bias to the target point of the RRT algorithm, and the path to deal with)

根据BCH码的编译码原理，用matlab实现的BCH码编译码，并进行误码率分析。(According to the principle of BCH code ，the program will realize the encodeing and decoding of BCH code，the analysis of BER.)

support classifier vector

PCA分类，用于较好的去噪降维，matlab的各种自适应仿真分析。。自适应信息处理的算法、方案繁多，究其实质可归纳为遵循最小均方误差(Least Mean Square，LMS)准则及最小二乘(PCA classification for better denoising dimensionality reduction, a variety of adaptive matlab simulation analysis. . Adaptive information processing algorithms, programs many, their essence can be summarized as follows the minimum mean square error (Least Mean Square, LMS) and the least squares criterion)