aco

说明：  无人机模型，GUI界面，模拟飞机飞行过程(UAV model GUI interface Simulation of aircraft flight process)

求解二维拉普拉斯方程的matlab程序的实现(Solving two-dimensional Laplace equation)

说明：  关于J2塑性流动理论的金属3的材料本构隐式子程序umat(Implicit Subprogram UMAT for Material Constitutive of Metal 3 in J2 Plastic Flow Theory)

通过matlab编程实现了比例导引法制导的弹目飞行的轨迹生成(Trajectory Generation of Missile Guided by Proportional Guidance Method)

说明：  焊接电弧的仿真模拟的能量源项C代码，用FLUENT建模，欢迎下载！(Welding arc simulation C code, using FLUENT modeling, welcome to download!)

说明：  主要解决移动机器人路径规划问题，采用Matlab语言编程。(It mainly solves the path planning problem of mobile robot.)

机器人MATLAB m语言，实现关节机器人的运动学正解运算。算(Robot MATLAB M language, realize kinematic joint robot forward kinematics, inverse operation.)

大坝变形的精确预测对其安全评价方面发挥着重要作用。为了进一步提高大坝变形预测精度，提出了一种改进的灰狼算法优化支持向量机的预测模型。通过引入非线性收敛因子和采用动态加权策略，提升灰狼算法优化支持向量机惩罚因子和核函数参数的能力，并以优化的参数来建立支持向量机大坝变形预测模型。选取实例数据，在与布谷鸟算法、差分进化算法、粒子群算法、基本灰狼算法优化的支持向量机预测比较中，实验结果表明，改进的灰狼算法对支持向量机参数的优化是有效的，可以提高大坝变形预测精度。(Accurate prediction of dam deformation plays an important role in its safety evaluation. In order to further improve the prediction accuracy of dam deformation, an improved grey Wolf algorithm is proposed to optimize the prediction model of support vector machine. By introducing the nonlinear convergence factor and using the dynamic weighting strategy, the gray wolf algorithm is improved to optimize the capacity of the support vector machine penalty factor and the kernel parameter, and the support vector machine dam deformation prediction model is established with the optimized parameters. The experimental results show that the Improved Grey Wolf algorithm is effective for the optimization of support vector machine parameters, and it can improve the accuracy of the deformation prediction of the dam.)

说明：  用C语言将相变温度-压力曲线写入udf，用于fluent中自定义函数功能，添加于物性参数。(Phase Transition Temperature-Pressure Curve)

基于CARSIM的驾驶员预瞄模型实现无人车路径跟踪(The pilot model realizes the path tracking of the driverless car)