fastdist.m

MATLAB设计简易计算器 运行通过,方便灵活(MATLAB simple calculator designed to run through, convenient and flexible)

地震影响系数计算，mathcad格式。Calculation of earthquake influence coefficient(Calculation of earthquake influence coefficient)

压缩感知技术，信号重建matlab程序代码。matlab2010b(compress sensing)

2d logistic regression demo

Classification of iris data set using FLANN and epoch based learning(not iterative).The same technique is again used for realizing XOR gate

遗传算法选择算子的MATLAB程序 (Genetic Algorithm MATLAB operator selection procedures)

移动网络中，AODV和DSR路由算法的matlab程序，根据已知节点可选出最优路径(Mobile networks, AODV and DSR routing algorithm matlab program, the node can be selected according to the known optimal path)

说明：  MATLAB环境下，一维小波分解并提取细节系数和近似系数，再加小波包分解信号(MATLAB environment, the one-dimensional wavelet decomposition and extract detail coefficients and approximation coefficients of wavelet packet decomposition of signal plus)

数字信号处理综合设计 利用windows下的录音机录制一段自己的话音，时间控制在1秒左右；并对语音信号进行采样，理解采样频率、采样位数等概念。(Digital signal processing integrated design Using Windows, making a video recorder under his voice, time control in 1 seconds And the voice signal sampling frequency sampling, understand concepts, sampling digits. )

说明：  工程实际中的许多优化问题是多目标的优化设计问题。通常情况下多个目标是处于冲突状态的,不存在一个最优设计使所有的目标同时达到最优,一个目标性能的改善,往往以其它一个或多个目标性能的降低为代价。无论采用自适应遗传算法还是其它在标准遗传算法基础上经过改进的遗传算法,如果采用加权组合法等将多目标转化为单目标的处理方法,就无法充分发挥遗传算法的优势。如果把遗传 算法与适用于多目标处理的几此协方法相结合,就能完全发挥遗传算法在多目标优化设计中的作用。(Many optimization problems in engineering practice are multi-objective optimization design problems. Generally, multiple goals are in conflict. There is no one optimal design to achieve all goals simultaneously. The improvement of one goal's performance is often at the expense of the performance of one or more other goals. Whether adaptive genetic algorithm or other improved genetic algorithm based on standard genetic algorithm is adopted, if weighted combination method is adopted to transform multi-objective into single-objective processing method, the advantages of genetic algorithm cannot be fully utilized. If the genetic algorithm is combined with several cooperative methods suitable for multi-objective processing, the role of genetic algorithm in multi-objective optimal design can be fully exerted.)