matlabcode3

说明：  这是这段时间 在网上荡的 MATLAB 与CCS联调的资料。里面包含的联调的命令，以及一个完整的FIR 程序，利用MATLAB与CCS的联合实现！希望对大家有用。。。(This is a time-line swing of MATLAB and CCS FBI data. Which included the FBI' s command, as well as a complete FIR program using MATLAB and CCS, the joint realization of! Want to be useful to everyone. . .)

四阵元理想情况下情况下，来波方向为30度时，波束赋形( Smart Antenna beam-forming)

我自己编写的用遗传算法寻找KSW最佳二维阈值，搞噪效果很好。(I prepared using genetic algorithm to find the best 2D Threshold KSW, engage in noise with good results.)

CDMA EQULAISER FOR COMMUNICATION STUDY

matlab关于自适应波束形成以及阵列信号处理的程序教程，适合初学者(for beginners about array signal processing)

closed loop control of insuction machine

In this paper, we introduce a new machine-learning-based data classification algorithm that is applied to network intrusion detection. The basic task is to classify network activities (in the network log as connection records) as normal or abnormal while minimizing misclassification. Although different classification models have been developed for network intrusion detection, each of them has its strengths and weaknesses, including the most commonly applied Support Vector Machine (SVM) method and the Clustering based on Self-Organized Ant Colony Network (CSOACN). Our new approach combines the SVM method with CSOACNs to take the advantages of both while avoiding their weaknesses. Our algorithm is implemented and evaluated using a standard benchmark KDD99 data set. Experiments show that CSVAC (Combining Support Vectors with Ant Colony) outperforms SVM alone or CSOACN alone in terms of both classification rate and run-time efficiency.

说明：  遗传算法GA—模拟自然界遗传机制和生物进化论而成的一种并行随机搜索最优化方法。（具有“生存+检测”的迭代过程的搜索算法）基于自然界“优胜劣汰，适者生存”的生物进化原理引入优化参数形成的编码串联群体中，按照所选择的适应度函数并通过遗传中的选择、交叉和变异对个体进行筛选，使适应度值好的个体被保留，适应度差的个体被淘汰，新的群体既继承了上一代的信息，又优于上一代。反复循环，直至满足条件。(GA-A parallel random search optimization method that simulates natural genetic mechanisms and biological evolution. (Search algorithm with "survival + detection" iterative process) Based on the biological evolution principle of "survival of the fittest, survival of the fittest" in the natural world, the coding series formed by optimized parameters is introduced. Individuals are screened according to the selected fitness function and through genetic selection, crossover, and variation, so that individuals with good fitness values are retained, individuals with poor adaptability are eliminated, and new groups inherit the information of the previous generation., Better than the last generation. Repeat until conditions are met.)

Matlab教程-用户图形界面设计gui(matlab gui)

用于求解汽车路径寻求问题的单亲遗传算法，(patheno-genetic algorithm for vehicle routing problem)