kaiserwin

蚁群算法的matlab源码,写在word里，请大家分享。(Ant colony algorithm matlab source code, written on the word, please share with you all.)

该算法用于自回归输入模型，是一种迭代的算法。其基本思想是基于对数据先进行一次滤波处理，后利用普通最小二乘法对滤波后的数据进行辨识，进而获得无偏一致估计。但是当过程的输出信噪比比较大或模型参数较多时，这种数据白色化处理的可靠性就会下降，辨识结果往往会是有偏估计。数据要充分多，否则辨识精度下降。模型阶次不宜过高。初始值对辨识结果有较大影响。(The algorithm used for autoregressive input model, it is a kind of iterative algorithm. The basic idea is based on data to conduct a filtering processing, after using ordinary least square method to identify the data filter, and then obtain unbiased consensus estimates. But when the process output signal-to-noise ratio is larger or model parameters are too, this kind of data white processs reliability will drop, identification results tend to be biased estimate. Data should fully, otherwise the identification accuracy down. Model order time shoulds not be too high. Initial value to identification results have great influence on.)

停车场仿真，停车场中车辆的进出满足泊松分布，利用matlab GUI编程实现对车辆进入和离开停车场的模拟，动画实现，内附matlab源代码与具体的设计报告！(Parking simulation, and out of the parking lot of vehicles to meet the Poisson distribution, the use of matlab GUI programming for vehicles entering and leaving the parking lot of simulation, animation realization, containing the source code and detailed design report!)

基于最基本的粒子群算法提出了一种与从生物角度提出来的小生境算法相结合的小生境粒子群优化算法(Based on the most basic particle swarm algorithm, a niche particle swarm optimization algorithm is proposed based on the niche algorithm proposed the biological point of view.)

BP神经网络的学习代码，是学习BP神经网络的入门代码，可以用于仿真实验(BP neural network to learn the code, BP neural network to learn the entry code can be used for simulation experiments)

fibonacci search for finding the lamda value in interior penalty method..

Implementation of Power Disturbance Classifier Using Wavelet-Based Neural Networks

说明：  顶点覆盖近似算法，本人已经运行过，可以使用(Vertex cover approximation algorithm, I have to run off, you can use)

BPSK系统的误码率仿真的详细的matlab程序～～～～～～～(BPSK BER simulation of the detailed matlab program ~~~~~~~)

各种matlab代码，实现各种功能，供查阅者参考，熟悉matlab软件的使用(x=linspace(0,1,21) y=linspace(0,1,21) [X,Y]=meshgrid(x,y) z=(X.*Y)./(X+Y) meshc(X,Y,z) )