Buck_PWM

说明：  在考虑汽车零部件包装箱长、宽、高等三维尺寸的约束下，以配送中心为原点，分派多辆同一规格的货车到n个供应商处取货，最后回到配送中心。本章所构建的三维装载约束下的汽车零部件循环取货路径优化模型要解决的问题是确定循环取货路径，要求充分考虑汽车零部件在货车车厢中的三维装载位置，确保每个供应商处的零部件均能成功装载，尽可能使车辆装载率最大，且所有车辆的总行驶路径最短。(In considering the auto parts box length, width, higher dimensional size constraints to the distribution center as the origin, a multi-vehicle dispatch trucks to the same specifications of the pick n suppliers, and finally back to the distribution center. Auto Parts Pick cycle path constructed three-dimensional loading constraints under chapter optimization model to solve the problem is to determine the circulation pickup path requires full consideration in boxcars loaded in three-dimensional position of auto parts, to ensure that each vendor Parts can successfully loaded, as the vehicle maximum loading rate, and the total of all vehicles traveling the shortest route.)

火电厂主汽温系统扰动消除设计方法,很有用的文献(Main Steam Temperature System Disturbance canceling design, useful literature)

脑电特征提取的典型特征提取算法——共同空间模式方法，本人已亲自调试，并用于论文的写作，是一个提取脑电特征的利器(Eeg feature extraction of typical feature extraction algorithm, joint space model method, I have personally debugging, and used for thesis writing, is a feature extraction of eeg)

先归一化输入输出参数，用KMens优化RBF神经网络中心值，然后计算隐节点数据中心间的距离（矩阵），得到各隐节点的扩展常数（宽度），接着用最小二乘法得到各隐节点的输出权值，对数据进行反归一化，并绘图得到神经网络输出与测试集图，同时进行性能评价(First, the input and output parameters are normalized, the central value of the RBF neural network is optimized by KMens, then the distance (matrix) between the data centers of the hidden nodes is calculated, and the extended constant (width) of the hidden nodes is obtained. Then the output weights of the hidden nodes are obtained by the least square method, and the data are back normalized, and the neural network is drawn. Output and test set diagrams, and performance evaluation)

说明：  matpower 学习手册-----------(matpower manual-----------)

说明：  SVM支持向量机的二分法程序源码，程序能很好运行(SVM Support Vector Machine dichotomy program source code, the program is running well)

alamouti code for two transmitter and 1 receiver

parsing header values into elements.

模拟退火算法，解决旅行最短路径问题，matlab程序(Simulated annealing algorithm to solve traveling the shortest path problem, matlab program)

function y=rgb2lab(im) rgb2lab( image ) Converte de RGB para LAB