OSGA

说明：  针对光照不均匀条件下光伏阵列 P-V 输出特征呈现多波峰，传统算法无法摆脱局部最优值的缺点，该文提出了一种基于细菌觅食的优化算法，并首次应用于光伏阵列的最大功率点跟踪（MPPT）。(In order to solve the problem that the photovoltaic array P-V output characteristic presents multi peaks under the condition of uneven illumination, the traditional algorithm can not get rid of the local optimal value Based on the optimization algorithm of bacterial foraging, it is applied to the maximum power point tracking (MPPT) of photovoltaic array for the first time. The algorithm introduces the trend operation, which is used for the local optimization)

The code is used to simulate the handover mechanism between WiMAX and 3G networks using topsis method with fuzzy logic. At the end of the simulation results are plotted in the form of graphics.

mathematical morphology application

机器学习中的垃圾邮件分类程序，用matlab做的。从以下链接下载垃圾邮件数据（spam data）：(数据已下载，放在spambase.zip) http://www-stat.stanford.edu/~tibs/ElemStatLearn/index.html 该数据包含57个邮件信息相关的变量，每条邮件可以被分类为垃圾邮件（Y=1）和非垃圾邮件（Y=0）。输出Y的值在文件中每一列的末尾。练习的目标是要预测电子邮件是否为垃圾邮件。 (Machine Learning spam classification procedures, using matlab to do. Data (spam data) from the following link to download the junk mail: (data has been downloaded, put spambase.zip) http://www-stat.stanford.edu/ ~ tibs/ElemStatLearn/index.html The data includes 57 e-mail messages related variables, each message can be classified as spam (Y = 1) and non-spam (Y = 0). Y value of the output end of each column in the file. The goal is to predict exercise email is spam.)

一个写的比较好的人工鱼群算法,适合初学者.(A good written artificial fish school algorithm, suitable for beginners.)

此为偏最小二乘支持向量机的说明文档，加程序与详细的程序说明！(This is the partial least squares support vector machine documentation, plus a detailed description of the procedures with the program!)

基于SINR的自适应波束成形,本程序给出了基于SINR算法的自适应波束成形(SINR-based adaptive beam forming, the process is the adaptive beamforming algorithm based on SINR)

Open Core Protocol ( OCP ) TEXAS-Instrument(Open Core Protocol ( OCP ) TEXAS-Instrument)

说明：  讲述VC++与MATLAB的接口编程，对于初学者有很大的帮助(On the VC++ and MATLAB programming interface, for there is a great help for beginners)

将蚁群优化算法与粒子群优化算法进行组合，并利用遗传算法的交叉操作与变异操作对粒子多样性进行改进，提高全局优化效率，并配有实例演示。(The ant colony optimization algorithm and the particle swarm optimization algorithm are combined, and the genetic algorithm is used to improve the diversity of the particles. )