mydo08

说明：  粒子滤波，用于对模型数据进行寿命衰退的预测，或者用于衰退模型的饿跟踪预测等(particle filter)

Function to plot ellipse in matlab

说明：  基于simulink的可以生成幅值可变、频率可变、相位可变、偏移量可变的正弦、方波和三角波信号的多信号发生器(Based on Simulink, it can generate sine, square and triangle wave signals with variable amplitude, frequency, phase and offset)

使用matlab来生产BA网络。输入每次的连边数量和节点个数来产生最后的BA网络(Generate BA network)

The LMSE package contains two subroutines. LMSE computes the minimum mean square error (MSE) possible if one image is allowed to be linearly scaled in intensity. LMSEDIFF computes the difference image after the target image is scaled according to the scaling that minimizes the MSE. This is a better way to compare images if the absolute magnitude of the intensity has no meaning.

针对一维,二维函数个g(x)，设计一个模糊系统f(x)，使之一致的逼近定义在某区间上的连续函数并且满足所需精度(For one-dimensional, two-dimensional function of g (x), to design a fuzzy system f (x), consistent approach to the definition of a continuous function on the range and accuracy to meet the requirements)

Dear members this are new IEEE papers 2013 based on cloud computing, networking, security, wireless sensor networks.

遗传算法解决5种多旅行商问题（mtsp）的matlab程序 分别为以下5中情况： 1.从不同起点出发回到起点（固定旅行商数量） 2.从不同起点出发回到起点（旅行商数量根据计算可变） 3.从同一起点出发回到起点 4.从同一起点出发不会到起点 5.从同一起点出发回到同一终点（与起点不同）(5 kinds of genetic algorithms to solve multiple traveling salesman problem (mtsp) matlab program 5, respectively, the following situations: 1. Back to the starting point a different starting point (TSP fixed amount) 2. Back to the starting point a different starting point (TSP amount calculated variable) 3. Starting the same starting point back to the beginning 4. Starting the same starting point to the starting point is not 5. Starting the same starting point back to the same end point (with different starting points))

A Simple Singular Value Decomposition matlab code to compress an image

遗传算法（Genetic Algorithm，GA）是通过对自然界中生物的遗传和优胜劣汰的进化过程进行模拟与抽象，进而形成的一种自适应全局随机优化搜索方法。遗传算法只需提供目标函数作为寻优信息，它从某一随机生成的初始群体出发，经过选择、交叉和变异等遗传操作后对个体进行适应度评价，保留适应度较强的个体遗传到子代种群中，经过多次的迭代计算求得最优个体，即问题的最优解。本程序采用遗传算法可求解微网优化运行。(Genetic Algorithm is an adaptive global by nature, genetic and biological survival of the fittest evolutionary process simulation and abstract, and thus the formation of stochastic optimization search method. Just provide genetic algorithm optimization objective function as an information, which is generated from a random initial population of departure, after genetic manipulation, such as selection, crossover and mutation of individuals fitness evaluation, retained a strong individual genetic fitness to child on behalf of the population, after several iterations of computing the optimal solution to get the optimal individual, that is the problem. This program uses a genetic algorithm to solve the optimal operation of the micro-network.)