statistic_errors

hybrid particle swarm optimization

说明：  Matlab是计算结构力学的好助手,计算结构力学(MATLAB is a good assistant in computational structural mechanics)

本程序基于MATLAB,用于计算多层平板波导的导模的等效折射率(The program is based on MATLAB, the equivalent refractive index of the guided mode for calculation of multilayer slab waveguide)

this source code is use to calculate resister capacitor and inductor

隐式及显示技术模拟复合材料结构的固化，UMAT程序(Cure Simulation of Composite Structures Applying Implicit and Explicit FE Techniques)

1.数据时随机产生的（产生1000个随机数），进行排序2.每一次数据排序之后，都可以看到排序的移动，交换次数以及排序的时间。 (1. After randomly generated data (generated 1000 random numbers), every sort 2. Sort the data, you can see the sort of move, switching times and sort of time.)

利用c++编写了一个外点惩罚函数，用于对于对目标值的推算与尝试。(Use c++ to write a point outside the penalty function for the target value for the calculation and try.)

说明：  本实验是利用卡尔曼滤波器实现一维匀加速运动的轨迹跟踪。卡尔曼滤波是一种时域滤波方法，它采用状态空间方法描述系统，算法采用递推机制，数据存储量小，在导航领域有成功的应用。(This experiment is the use of Kalman filter to achieve a one-dimensional constant acceleration of the trajectory tracking. Kalman filter is a time-domain filtering method, which uses state-space description of systems, algorithms using recursive mechanisms, data storage a small amount of success in the navigation area of the application.)

converts binary sequence to decimal sequence

为了提高三级倒立摆系统控制的响应速度和稳定性,在设计Mamdani 型模糊推理规则控制器控制倒立摆系统稳定的基础上, 设计了一种更有效率的基于Sugeno 型模糊推理规则的模糊神经网络控制器。该控制器使用BP 神经网络和最小二乘法的混 合算法进行参数训练,能够准确归纳输入输出量的模糊隶属度函数和模糊逻辑规则。通过与Mamdani 型控制器的仿真对比, 表明该Sugeno 型模糊神经网络控制器对三级倒立摆系统的控制具有良好的稳定性和快速性,以及较高的控制精度。(In order to improve the three-level control of inverted pendulum system response speed and stability, in the design of Mamdani-type fuzzy inference rules of the system controller to control the stability of inverted pendulum on the basis of a more efficient design based on Sugeno-type fuzzy inference rules of fuzzy neural network controller. The controller is the use of BP neural network and hybrid least squares training algorithm parameters can be accurately summed up the amount of input and output fuzzy membership function and fuzzy logic rules. Mamdani-type controller with a simulation comparison shows that the Sugeno-type fuzzy neural network controller for the three-tier control of inverted pendulum system with good stability and fast, as well as a higher control precision.)