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异步电机MATLAB仿真程序，大家可以多多交流。。。。(Induction motor MATLAB simulation program, we can interact. . . .)

本程序为《自适应信号处理》（王永德等译，机械工业出版社）书中107图SER算法和LMS算法比较的源程序，仿真效果和书上一致(This program is " adaptive signal processing" (s Acoustic other translation, Mechanical Industry Press) book 107 SER algorithm and LMS algorithm for graph comparison of the source, the simulation results and the same book)

蔡氏电路MATLAB仿真程序，分析，绘图，手动设置参数(Chua' s circuit simulation program MATLAB, analysis, mapping, set the parameters manually)

这是加权网络中节点强度和权重都是均匀分布的模型。(This is a node-weighted network strength and weight of the model are uniformly distributed.)

这是我编的一个乘子法的MATALB程序，大家看一下，还有什么需要改进的(This is Part I of a multiplier method MATALB program, we look at what needs to be improved)

电力电子、电机控制的仿真模型，异步电机无速度传感器控制(The simulation model of power electronics, motor control, induction motor speed sensorless control)

流体力学中有限体积法的求解程序，matlab代码(Finite volume method for solving procedures, matlab code)

运用平面波展开法模拟光子晶体光纤中的带隙结构(The use of the plane wave expansion method photonic crystal fiber bandgap structure)

支持向量机的研究现已成为机器学习领域中的研究热点，其理论基础是Vapnik[3]等提出的统计学习理论。统计学习理论采用结构风险最小化准则，在最小化样本点误差的同时，缩小模型泛化误差的上界，即最小化模型的结构风险，从而提高了模型的泛化能力，这一优点在小样本学习中更为突出。SVM理论正是在这一基础上发展而来的，经过十几年的研究和发展，已开始逐步应用于一些领域。在解决小样本、非线性及高维模式识别问题中表现出许多特有的优势，已经在模式识别、函数逼近和概率密度估计等方面取得了良好的效果。( Support Vector Machine (SVM) is a new machine learning technique in recent years developed based on statistical learning theory (SLT). It wins popularity due to many attractive features and emphatically performance in the fields of nonlinear and high dimensional pattern recognition. The theory and algorithm of SVC is studied at first, then, simulation is to recognize handwritten numeral with the Lib-SVM toolbox. At last, we study the result, which shows that the SVC can do the classification problem with good performance, shorter operation time and is more suitable for real-time implementation.)

变频调速系统仿真搭建模型 由于观测仿真波形 记录以及分析实验结果(Variable speed control system simulation build the observation model simulation and analysis of experimental results wave record )