简单的蚁群算法求解TSP问题，可随时拓展

经典的支持向量机SVM用于分类的MATLAB程序,可用于辨识,分类和参数优化!(Classical SVM support vector machine for classification of MATLAB procedures, can be used for identification, classification and parameter optimization!)

6个三电平二极管钳位式有源电力滤波器，采用双滞环对电压进行控制，采用IP-IQ法对电流进行检测。SVPWM未触发脉冲(Six three-level diode clamp active power filter, the use of double hysteresis to control the voltage, the use of IP-IQ method to detect the current. SVPWM does not trigger a pulse)

本程序采用的是基于matlab的PQ分解法潮流计算，程序主要分为三个部分：第一部分用于生成系统的节点导纳矩阵。第二部分主要进行潮流系统的迭代运算。第三部分主要用于对程序最后输出结果的计算，如电压的幅值，相角，功率分布等。(This procedure is used in matlab the PQ decomposition method based on flow calculation, the program is divided into three parts: The first part of the node admittance matrix used to generate the system. The second part of the iteration trend system. The third part is mainly used for the calculation of the final output of the program, such as the amplitude of the voltage, phase angle, power distribution.)

说明：  Isomap流形降维算法，包括了一个瑞士卷生成数据，dijk距离算法。(Dimensionality reduction algorithm Isomap manifold, including the formation of a Swiss roll data, dijk distance algorithm.)

2PAM和2PPM调制的IRUWB发射机，各种功率、频率、调制方式等参数在start.m中修改(2PAM and 2PPM IRUWB modulation transmitter, all power, frequency, modulation and other parameters to modify in start.m)

混合动力汽车永磁同步电机的研究，构建了整车系统，并且研究的分数阶控制器在系统中的控制作用，与整数阶控制器进行了比较(Hybrid permanent magnet synchronous motor research, build the system of the vehicle, and the research of fractional order controllers in the system control function, and an integer order controllers are compared )

SAR雷达成像算法中的RD算法代码，可以进行点成像和面成像演示。(The RD algorithm code in the SAR radar imaging algorithm can be demonstrated by point imaging and surface imaging.)

MATLAB程序设计微分方程算法教程MATLAB程序设计微分方程算法教程(MATLAB Tutorial MATLAB programming algorithm Differential Equations Algorithm Programming Guide)

Training Artificial Neural Network. XOR Problem. Summation Units, Log-Sigmoid Neurons with Biases. Input Layer: 2, Hidden Layer: 2, Output Layer: 1 neurons. Returns mean square error between desired and actual outputs. Reference Papers: D. Karaboga, B. Basturk Akay, C. Ozturk, Artificial Bee Colony (ABC) Optimization Algorithm for Training Feed-Forward Neural Networks, LNCS: Modeling Decisions for Artificial Intelligence, 4617/2007, 318-329, 2007. D. Karaboga, C. Ozturk, Neural Networks Training by Artificial Bee Colony Algorithm on Pattern Classification, Neural Network World, 19(3), 279-292, 2009. */

用于matlab的pca,程序规整。便于理解，思路清晰。(for matlab of pca)