palabos

基于Wegstein方法的求解方程的C++程序。(Wegstein-based method for solving equations C++ program.)

捷联惯导卡尔曼滤波算法初始对准，参考哈工程的硕士写的，效果可以，但是不知道观测量是如何构造的。(Kalman filter algorithm SINS initial alignment, Master of Engineering Reference Kazakhstan write, the effect can be observables but do not know how to construct.)

考普森教授在这本书中，使用经典的分析方法，给出了严谨的一阶和二阶线性偏微分方程理论方面的知识。(in this book， professor copson gives a rigorous account of the theory of partial differential equations of the first order and of linear partial differential equations of the second order， using the methods of classical analysis.)

汽车七自由度动力学模型的动力学分析和计算。并对其进行计算(The car seven degrees of freedom dynamic model )

有限元求解柏松方程。本文采用FORTRAN语言编制程序。程序中大部分变量采用有名公共区存储方式存储，这样可以减少内存占用量。 IFG：生成有限元网格信息，即元素节点局部编码与总体编码对照表，节点实际坐标，边界节点编码与边界点上的已知值 GKD：生成总刚一维存储对角元的地址，计算总刚一维存储长度 FIXP：设置已知节点函数值 GK(NI,NJ,ADJ,AIJ)：单元刚度矩阵计算 GF(NI,N,M,LE,YI,FE)：单元列阵的计算 AK(I,J,AIJ)：总刚度矩阵元素迭加 QEB：总刚度矩阵和总列阵合成 BDE：边界条件处理 SOLGS：Gauss-Seidel迭代法求解方程组 UDIFF(NI,NFLAG,UDIF,LE,ADJ)：标准元素内形状函数导数计算 DIFF：节点上 ， 加权平均 (In this program, FEM was used to solve the possion equation. It is implemented through FORTRAN)

本人编写的半导体光放大器物理模型仿真程序。(I prepared the physical model of semiconductor optical amplifier simulation program.)

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.)

可控源音频大地电磁一维occam反演程序(Controlled source audio magnetotelluric inversion program of one-dimensional occam)

利用预估矫正方法解分数阶常微分方程，该方法适用于线性和非线性分数阶常微分方程(using PECE method to solve fractional ordinary differential equation)

使用BP神经网络预测农产品的需求，论文在知网上应该就一篇。(Using neural network to predict the demand of agricultural products)