finite-element-method-

生物医学信号处理是以数字信号处理为基础的离散信号及 离散系统的研究，因此．其预算过程基本上都是卷积或者相关预 算。在MATLAB中可以很容易实现这种运算。(Biomedical signal processing is based on digital signal processing discrete signals and discrete systems research, therefore. The budget process is basically the convolution or related budget. In MATLAB, can easily achieve this operation.)

在vc控制台中运行，用遗传算法求解最短路径，用邻接矩阵表示路线图。(Vc console in the run, the shortest path with the genetic algorithm, said the road map with the adjacency matrix.)

二阶龙格-库塔法在电力系统暂态过程计算中的应用(Second-order Runge- Kutta method in power system transient calculation)

RFID是射频识别技术的英文(Radio Frequency Identification)的缩写，射频识别技术是20世纪90年代开始兴起的一种自动识别技术，射频识别技术是一项利用射频信号通过空间耦合(交变磁场或电磁场)实现无接触信息传递并通过所传递的信息达到识别目的的技术。 (RFID is radio frequency identification technology in English (Radio Frequency Identification) stands for radio frequency identification technology is the 20th century, the rise of the 90s an automatic identification technology, radio frequency identification technology is a radio frequency signal through space coupling (alternating magnetic field or electromagnetic field ) to achieve non-contact information transmission and pass the message to identify the purpose of the technology.)

simulink使用详细介绍；smulink参数设置教程( )

chat room with matlab first,a client and a server connect and then chat together

风电功率系数的计算，应用经验公式，计算风力机吸收功率的系数(calculate coefficient of wind power )

无标度网络结构相对简单,实现算法与可视化并不困难。与其它语言相比,Matlab 语言具有丰富的数学 函数库,能够写出简约的源代码。对于非计算机专业的大学生来说,以此为基础,能够快速进入复杂网络前沿 研究课题,对其数学建模能力和科研能力的培养极为有益。(Scale-free network structure is relatively simple algorithm is not difficult and visualization. Compared with other languages, Matlab language with a rich library of mathematical functions, can be simple to write the source code. For non-computer science students is as a basis to quickly enter the complex network of cutting-edge research topics, their mathematical modeling and scientific research is extremely useful ability.)

基于扩展记忆的粒子群优化算法（Particle Swarm Optimization based on memory）(This paper combines SVM with improved PSO (Particle Swarm Optimization with Extended Memory, PSOEM) and then builds PSOEM-SVM forecasting model. The PSOEM searches the solution space intelligently and finds out the best one. Parameters in SVM are optimized by PSOEM, which implements automation of the parameter optimization avoiding the blindness of selecting parameters. Not only does it utilize the generalization feature of SVM, but enhance the global search ability of PSO (Particle Swarm Optimization). Thus, both accuracy and speed are increased at the same time.)

AC MOTOR CONTROL TECHNİ QUE Wİ TH MATLAB