PM-DOAandL-2-DOA

Runge－Kutta45算法与Runge-Kutta54算法的matlab实现 数值分析课程代码(Runge-Kutta 45 algorithm and Runge-Kutta 54 algorithm matlab implementation Numerical Analysis Course Code)

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.)

关于焊接残余应力的Abaqus子程序-DFLUX(The Abaqus subprogram-DFLUX on welding residual stress)

SPH 源代码，用于科研计算，是光滑粒子流体动力学-一种无网格粒子法书后的源代码(SPH source code, for scientific computing, is a smoothed particle hydrodynamics -- a source code after a meshless particle method.)

贝叶斯网络结构学习爬山算法的改进方法，更准确(Improved Bayesian network structure learning climbing algorithm, more accurate)

Python for Data Analysis DATA WRANGLING WITH PANDAS, NUMPY, AND IPYTHON

利用5阶WENO有限差分法求解一维Euler方程组，给出求解Sod型激波管问题的详细程序。(The use of 5-order WENO finite difference method for solving one-dimensional Euler equations given type of shock tube problem solving Sod detailed procedures.)

四分之一圆柱贴体网格的生成，可以调节大小(Fourth cylindrical body-fitted grid generation, you can adjust the size of the)

基于互相关分析的时延估计算法；基于互相关分析的时延估计算法(cross-correlation analysis for time delay calculation)

说明：  距阵链乘问题: 找出矩阵链乘A(35*40) A(40*20) A(20*10) A(10*15)的最佳相乘次序。 算法来自:计算机算法导引(matrix chain by : identify matrix chain by A (35* 40) A (40* 20) A (20* 10) A (10* 15) concludes the best order. Algorithm from : computer algorithm Seeker)