0385

SVM（支持向量机）参数寻优代码，可自动实现支持向量机的参数寻优(SVM (support vector machine) parameter optimization code that can automatically support vector machine parameter optimization)

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

无功优化的最优潮流程序，可以自行替换ieee数据(Optimal Power Flow)

本程序:采用平面梁单元计算两铰抛物线拱的自由振动特性 输入参数： 无 输出结果： 前3阶振动频率及其相应的振型 (failed to translate)

非平稳时变信号的希尔伯特变化，可以实现EMD，HHS。(non-stationary and time-varying HHT)

很好很全的程序哦！jerk系统的多涡卷混沌仿真！(Very good and very full program! Multi scroll chaotic simulation of jerk system!)

lte中下行信号经过加扰、调制、层映射、预编码以及资源映射中的关于调制的QPSK的MATLAB代码(lte in the downlink signal through the scrambling, modulation, layer mapping, coding and mapping resources on the MATLAB code for QPSK modulation)

低通滤波器，用Matlab编程实现低通滤波器的功能(Low-pass filter, using Matlab programming function of the low-pass filter)

MATLAB SISO Design Tool.rar

Rosenbrock函数优化属于无约束函数优化问题，其全局极小值位于一条平滑而狭长的抛物线形状的山谷底部，且为优化算法提供的信息很少，因此找到其全局极小值就显得很困难。根据Rosenbrock函数的这种特性，专门提出了一种改进的PSO算法，该算法引入三角函数因子，利用三角函数具有的周期振荡性，使每个粒子获得较强的振荡性，扩大每个粒子的搜索空间，引导粒子向全局极小值附近靠近，避免算法过早地收敛，陷入局部最优，从而找到Rosenbrock函数的全局极小值。大量实验结果表明，该算法具有很好的优化性能，为某些领域某些特定的类似于Rosenbrock函数的优化问题提供了一种新的思路。(Rosenbrock function optimization functions are unconstrained optimization problems, its global minimum value at a smooth parabolic shape and narrow mountain valley Department, and for the optimization algorithm provides little information, and therefore find its global minimum value becomes very difficult. According to this feature Rosenbrock function, specifically mentioning Out an improved PSO algorithm (PSO-R), the algorithm introduced trigonometric factor, using trigonometric has periodic oscillations, so that each particle to obtain more Strong oscillations of expanding the search space of each particle, the particle is close to nearby guide global minimum, avoiding premature convergence algorithm, into a local optimum, thus Finding the global minimum Rosenbrock function. Experimental results show that the algorithm has a good optimizing performance, similar to some certain areas Rosenbrock function in the optimization problem provides a new way of thinking.)