pso

It is demonstrated that neural networks can be used effectively for the identification and control of nonlinear dynamical systems. The emphasis is on models for both identification and control. Static and dynamic backpropagation methods for the adjustment of parameters are discussed. In the models that are introduced, multilayer and recurrent networks are interconnected in novel configurations, and hence there is a real need to study them in a unified fashion. Simulation results reveal that the identification and adaptive control schemes suggested are practically feasible. Basic concepts and definitions are introduced throughout, and theoretical questions that have to be addressed are also described

数字信号处理matlab实验用FFT做谱分析源代码，可放心使用(Experiment with digital signal processing matlab FFT spectrum analysis to do source code can be freely used)

说明：  FDTD 2d 源程序,Program author: Susan C. Hagne(FDTD 2d source code, Program author: Susan C. Hagne)

multiple input multiple output capacity

根据能量密度梯度对细胞图像及边缘进行加强。(According to the energy density gradient on cell image and edge enhanced.)

《MATLAB统计分析与应用：40个案例分析》程序与数据-第八章源代码：数据拟合(" MATLAB statistical analysis and application: 40 Case Studies" program and data- Chapter VIII Source: Data Fitting)

目标定位和跟踪的源程序，用于声目标的定位于跟踪 (target location and tracking of the source for acoustic target tracking in the positioning)

edge detection (laplacian)

数据挖掘中用于分类的算法的MATLAB源程序代码。(Data mining algorithms for classification MATLAB source code.)

能有效地计算工业机器人的运动学，特别是六自由度转轴机器人的运动学正解，是很好的算法(calculate robot kinematics)