1D_introduction-FDTD

计算材料学中用相场法模拟凝固相变以及晶粒长大的开源性程序(Computational Materials Science solidification using phase-field simulation of grain growth phase transitions and open-source program)

这是利用C++ 编的fft(This is the C series fft)

模型大小延伸程序；及实现快速傅里叶变换的小程序。该两程序通俗易懂，适合初学者(Model extension、 FFT)

能够实现二维边界造波，且自带消波，能够较好地模拟波浪荷载。(with a prgram of eliminating wave,it can be used to achieve boundry wave.)

lagrange插值,用于分数时延滤波器farrow结构系数求解(Lagrange interpolation for fractional delay filter Farrow structure coefficient solution)

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.)

说明：  此程序为分段最小二乘算法曲线拟合,可对一模型进行分段拟合,增加准确性和精确度.(This program is sub-least-squares curve fitting algorithm can be fitted to a sub-model to increase the accuracy and precision.)

基于SVM的数据分类，通过IRIS数据进行验证，效果分类准确(SVM-based data classification, through the IRIS data validation, classification accuracy results)

Step response of vehicle

基于Visual C++的地震信号处理程序源代码，包括常用的FFT和Hilbert变换代码。(Visual C++ based on the seismic signal processing program source code, including the commonly used FFT and Hilbert transform code.)