Fuzzy-control

说明：  最大信噪比盲源分离算法 该算法参考文为 给予最大信噪比的盲源分离算法 《计算机仿真》 2006.2(Maximum signal to noise ratio Blind source separation)

A Matlab code for finding the shortest path in a graph using reinforcement learning. A sample of input file format is included.

Assume that a direct sequence spread spectrum system uses the Barker code of length 7 (N=7) as its spreading sequence. a. Randomly generate 8 symbols (d0~d7) from the set {+1,-1}. b. If each chip of the Barker code is denoted as cj, j=0~6, spread each symbol di by the Barker code. (Please refer to p. 17 of the slides.) Use “stem” to plot the signals before spreading and after spreading

implementaion of adaptive fuzzy

是日本船舶教授对船舶附加质量和附加惯性矩的分析。(Is the ship additional mass moment of inertia and additional analysis Japanese ship professor.)

对图像进行滤波的几种算法集锦，并在同幅图中显示，便于对比其各种效果，另外给出了一副彩色图像的滤波效果，还请高手指点。(Image filtering allehanda Algorithms, and at the same pictures shown to facilitate comparison of its various effects, another is given a color image filter effects, also requested the expert advice.)

高斯k均值程序算法，k-means是一种常用的聚类算法，可以实现数据的聚类。(K-means algorithm for Gaussian process, k-means clustering algorithm is a commonly used, can achieve data clustering.)

adrc控制器仿真,y一共四个文件，运行MAIN(adrc 2 freedom control)

. The reference simulator can be used to measure and plot the network capacity performance and signal to interference ratio (SIR) performance of LTE networks with the integer frequency reuse scheme with reuse factor 1 (IFR-1). Frequency reuse scheme with reuse factor 1 means that the available frequency resource is used by all the cells in the LTE network. You are advised to refer to the relevant slides of lecture 5 to get more information on the method used to calculate the SIR and capacity performances. The system level LTE is consisted of two Matlab script files (LTE_main.m, LTE_configuration.m), three Matlab function files (LTE_IFR_sim_dist.m, LTE_IFR_sim_netwide.m, LTE_IFR_plot.m) and one Matlab mat file (bs_user_position.mat).

TSP问题是经典的寻优问题 也是人工智能里一个重要的问题 我编写的程序主要是用蚁群算法来解决这个问题。蚁群算法是人工智能里用来寻优的重要算法 由于蚁群算法的优点使得TSP问题能够实现。 (The TSP problem is a classical optimization problem is also an important problem in artificial intelligence programs written in my main is to use ant colony algorithm to solve the problem. Ant colony algorithm is used in artificial intelligence (ai) optimization algorithm is important due to the advantages of ant colony algorithm can achieve the TSP problem.)