overlapsave

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.)

efficient clustering by using k-means

卡尔曼滤波器 matlab实现(Kalman filter matlab implementation)

一个基于互信息的图像配准，优化算法采用Powell算法，采用matlab编写。(A mutual information based image registration, optimization algorithm uses the Powell algorithm using matlab write.)

compresssion based calic decomposition

关于食堂就餐顾客的排队问题的仿真程序，maltab编写(A simulation program on the queuing problem of dining room customers)

说明：  ou should upload at least five sourcecodes/do

说明：  采用追赶法进行解方程，同时举一个例子来说明这个方法的用法，显示结果符合要求范围(Solution of equation by catch-up method, and an example to illustrate the use of this method to show the scope of the results meet the requirements)

Create a Monte Carlo simulation of random source of packets that are received and processed by a M/M/1 queue.(Create a Monte Carlo simulation of random source of packets that are received and processed by a M/M/1 queue.)

产生随机共振现象的输入输出信噪比曲线,运用龙格库塔算法求解朗之万方程，进而实现随机共振系统(the realization of stochastic resonance systems)