tongjing

PMF FFT捕获技术捕获性能仿真，并与改进的捕获技术捕获性能比较(FFT PMF capture technology capture performance simulation, and capture performance comparison with the improved capture technology)

ANSYS 分析一座预应力连续刚构桥的命令流，很实用哦(ANSYS analysis of a prestressed continuous rigid frame bridge command stream, and very practical!)

计算方法《牛顿差值》(calculation method, "Newton margin")

WRF模拟结果气象要素的检验对比，包含均方根误差，偏差和相关系数等(WRF simulation test results comparing meteorological elements, including the root mean square error, deviations and correlation coefficients)

说明：  计算流体力学基础中的二维欧拉方程求解程序，对流项离散采用JST格式，时间离散采用显示 Runge-Kutta法。(To calculate the two-dimensional Eula equation solver in the basis of fluid mechanics, the flow item discrete is in JST format and the time discrete is shown runge-Kutta method.)

抛物型方程古典&c-n格式差分算法 dasdsadsadasdsdsadas(Parabolic equations of classical & c-n format dasdsadsadasdsdsadas differential algorithm)

经验正交函数分析FORTRAN程序，用于变量场的时空结构分离（配套书籍《现代气候统计诊断与预测技术》）。(empirical orthogonal function, FORTRAN procedure, used to separate the spatio-temporal structure of climate variables.)

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.)

Fluent 学习文件 全方位的指导手册 (Building geometry Setting boundary condition types)

基于随机共振的微弱信号检测仿真，且包含求解郎之万方程的四阶龙格库塔算法源程序。(Fourth-order Runge-Kutta algorithm source simulation based on stochastic resonance in weak signal detection, and includes solving the Langevin equation.)