CEC_2008_edge

包括一些Probability_and_Stochastics 蒙特卡洛算法等程序。。。(Including some Probability_and_Stochastics Monte Carlo algorithms and other procedures. . .)

说明：  支持向量增长聚类方法,?С窒蛄吭龀ぞ劾喾椒??С窒蛄吭龀ぞ劾喾椒?支持向量增长聚类方法(support vector growth clustering, su pport vector cluster growth, increased clustering support vector methods, support vector cluster growth, increased clustering support vector method)

IIR滤波器的设计方法，以及所有论文资料，谢谢下载，支持网站发展(IIR filter design methods and information of all papers, thank you download support site development)

里卖含有很多函数，如求最大值，最小值函数，一范数和二范数相加的问题。(Being sold contain a lot of functions, such as seeking the maximum, minimum function, the sum of a norm and the two norm.)

UC_GUI开发源代码,里面含有范例,源文件(UC_GUI development of source code, which contains examples of source files)

cdma using matlab for engineering student

读取文件夹下的所有txt文件；功率谱变换(read data from all*.txt files in a folder Power spectral transform)

极限学习机（extreme learning machine）ELM是一种简单易用、有效的单隐层前馈神经网络SLFNs学习算法。2006年由南洋理工大学黄广斌副教授提出。传统的神经网络学习算法（如BP算法）需要人为设置大量的网络训练参数，并且很容易产生局部最优解。极限学习机只需要设置网络的隐层节点个数，在算法执行过程中不需要调整网络的输入权值以及隐元的偏置，并且产生唯一的最优解，因此具有学习速度快且泛化性能好的优点。(Extreme Learning Machine (extreme learning machine) ELM is an easy-to-use and effective single hidden layer feedforward neural network the SLFNs learning algorithm. 2006 by the Nanyang Technological University Associate Professor Huang Guangbin. Traditional neural network learning algorithm (BP) artificial network training parameters, and it is easy to generate a local optimal solution. Extreme Learning Machine network only need to set the number of hidden nodes, the algorithm implementation process does not need to adjust the network input weights and hidden element of bias, and only optimal solution, so the learning speed and generalization good performance advantages.)

数值补偿 数值补偿数值补偿数值补偿数值补偿数值补偿(numerical compensationnumerical compensationnumerical compensationnumerical compensationnumerical compensationnumerical compensation)

运行多径衰落信道，可以通过MATLAB仿真出来的程勋(Running multipath fading channels)