tuxiangchuli

灰色系统理论中的灰色预测模型，多元灰色预测模型的构建，可用于系统建模，控制系统，模型设计，预测控制，视觉目标跟踪中的运动预测等应用。(Grey prediction model in Grey System Theory can be applied in system modeling, control system, model design, prediction control and motion estimation in visual object tracking, etc.)

说明：  test1: a simple example for optical flow: 1 take the camera man picture for example 2 move it with subpixels (interpolate to get the result) 3 optical flow to estimate the motion test2-7 simple examples for picture rotation and translations

数学计算，随机数的生成，内含26个程序生成不同要求随机数(Math, random number generation, containing random number 26 programs generate different requirements)

constant impedance load modeling in a 11 bus distributiaon network , with power flow and linecurrent and busvoltage output

正交频分复用光纤通信系统信噪比理论值计算(Orthogonal frequency division multiplexing with a theoretical value of the optical fiber communication system signal-to-noise ratio calculated)

3 PHASE 3 LEVEL INVERTER

用的新公式编写的Harris角点检测方法，此代码能找到非常多的角点(The new formula used in the preparation of the Harris corner detection method, this code will find a lot of corners)

异步电机控制矢量控制中，需要磁链保持不变，根据电机的额定值计算磁链的额定值的程序代码，可以为电机控制的作为参考。(Induction motor control vector control, the need to maintain constant flux, flux is calculated according to the rating of the motor rated program code for motor control as a reference.)

support vector machine

概率神经网络(Probabilistic Neural Network)是由D.F.Speeht博士在1989年首先提出，是径向基网络的一个分支，属于前馈网络的一种。它具有如下优点：学习过程简单、训练速度快；分类更准确，容错性好等。从本质上说，它属于一种有监督的网络分类器，基于贝叶斯最小风险准则。(The rate neural network, first proposed in 1989, is a branch of the RBF network and is one of the feedforward networks. It has the following advantages: the learning process is simple, the training speed is fast, the classification is more accurate, the fault tolerance is good, and so on. In essence, it belongs to a supervised network classifier based on Bayesian minimum risk criteria.)