xianjiechuhuakuairunhua

基于Python编写的差分进化原理的带边界条件约束算法(A band constraint algorithm based on differential evolution algorithm)

实现UTM平面坐标系到经纬度的双向转换，是地理方面应用的好助手(UTM plane coordinate system to achieve two-way conversion of latitude and longitude, is a good helper geographic applications)

电磁波走时层析成像图像重建正演反演程序设计(Electromagnetic wave travel tomography image reconstruction inversion inversion program design)

excel编制的轴承计算程序，已经在生产设计中应用过(procedures for the preparation of the bearing calculation excel)

计算颤振，使用非定长气动力的方法进行计算，准确可靠(Calculated flutter, the use of non-fixed-length aerodynamic calculation, accurate and reliable)

This program is used to find the union, intersection and exclusive OR for given two sorted arrays.

管型燃烧固体火箭发动机压强建立过程计算程序 输入为比热比，燃气气体常数，点火温度，推进剂密度，装药直径（内径和外径），喷管喉部直径，装药体积，燃速相关常数 输出为压强和工作时间(tube type of solid rocket motor combustion pressure build process calculation programs for heat input than, gas gas constant, the ignition temperature, propellant density, charging diameter (inside and outside), nozzle throat diameter, charging volume, burning rate pressure and related constant output to work time )

说明：  数值分析第二版吕富同ppt 数值分析学习的参考资料(Numerical Analysis Reference materials for numerical analysis learning)

万有引力单目标优化算法，用于单目标线性规划问题(Universal gravitation single objective optimization algorithm is used for single target linear programming problem.)

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.)