DataGen

shi te zheng pailei de daima

说明：  带有收缩因子和惯性权重的基本PSO粒子群算法源代码。本源代码模块化编写，结构清晰，便于改进和做数值实验 (With the shrinkage factor and the basic PSO inertia weight particle swarm algorithm source code. Modular source code written in a clear structure, easy to improve and to do numerical experiments)

The project manager in MPLAB v3.40 has been extended to support multiple files. Previously established projects from MPLAB v3.31 and earlier will be converted automatically by MPLAB v3.40 when they are opened. Converted projects cannot be re-opened from previous versions of MPLAB.

说明：  以单相光伏发电并网系统为研究对象，针对光伏发电并网技术，在Matlab/Simulink中进行了光伏电池的建模，并深入分析了光伏发电最大功率点跟踪技术和逆变器并网控制技术。(Taking the single-phase photovoltaic power grid system as the research object, aiming at the photovoltaic power grid technology, the photovoltaic cell model is built in Matlab / Simulink, and the maximum power point tracking technology and inverter grid connection control technology are analyzed in depth.)

matlab的基础知识 适合刚接触该软件的使用者(matlab basic knowledge for users of the software刚接触)

will apply adaboost algorithm for making a strong classifier.

用matlab程序让电脑唱出世界名曲卡农(Matlab program for a computer to sing world music canon.)

这是模式识别中最小错误率Bayes分类器设计方案。 自行完善了在不同先验概率的条件下，男、女错误率和总错误率的统计，放入各个数组当中。 全部程序由主函数、最大似然估计求取概率密度子函数、最小错误率贝叶斯分类器决策子函数三块组成。 调用最大似然估计求取概率密度子函数时，第一步获取样本数据，存储为矩阵；第二步对矩阵的每一行求和，并除以样本总数N，得到平均值向量；第三步是应用公式（3-43）采用矩阵运算和循环控制语句，求得协方差矩阵；第四步通过协方差矩阵求得方差和相关系数，从而得到概率密度函数。 调用最小错误率贝叶斯分类器决策子函数时，根据先验概率数组，通过比较概率大小判断一个体重身高二维向量代表的人是男是女。 主函数第一步打开“MAIL.TXT”和“FEMALE.TXT”文件，并调用最大似然估计求取概率密度子函数，对分类器进行训练。第二步打开“test2.txt”，调用最小错误率贝叶斯分类器决策子函数，然后再将数组中逐一与已知性别的数据比较，就可以得到不同先验概率条件下错误率的统计。 (This is the minimum error rate pattern recognition Bayes classifier design. Self- improvement prior probability in different conditions , male , female and total error rate error rate statistics , into which each array . All programs from the main function , maximum likelihood estimation subroutine strike probability density , the minimum error rate Bayesian classifier composed of decision-making three subfunctions . Strike called maximum likelihood estimate probability density subroutine , the first step to obtain the sample data , stored as a matrix the second step of the matrix, each row sum , and divided by the total number of samples N, be the average vector third step is to application of the formula ( 3-43 ) using matrix and loop control statements , obtain the covariance matrix fourth step through the variance-covariance matrix and correlation coefficient obtained , resulting in the probability density function . Call the minimum error rate decision Functions Bayesian)

说明：  雾天图像处理 图像在雾天里 细节部分 看不清楚 该程序能恢复因雾天的影响造成的细节部分不清楚(image processing if the picture was influenced in the fog .this programm can deal the influenced picture in a high speed .it was developed in matlab image processing if the picture was influenced in the fog .image processing if the picture was influenced in the fog .image processing if the picture was influenced in the fog .)

说明：  用神经网络中的PCA算法对人脸图像进行压缩及恢复(PCA with a neural network algorithm for image compression on the face and back)