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于 2018-04-25 发布文件大小:118KB

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圆锥的拟合，三维点云数据的拟合，关于曲面重构，曲面拟合，曲面的特征提取，对圆锥点云数据的一个网格化(Conic, fittingFitting of cones, fitting 3D point cloud data, surface reconstruction, surface fitting, surface feature extraction, and gridding of conical point cloud data.)

文件列表：

yuanzhui\tinyuanzhuidisk.mat, 34980 , 2016-11-23
yuanzhui\yuanzhui.mat, 85501 , 2016-11-23
yuanzhui\yz.m, 745 , 2018-04-08
yuanzhui, 0 , 2018-04-05

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粒子群算法，也称粒子群优化算法或鸟群觅食算法（Particle Swarm Optimization），缩写为 PSO。它具有精度高，收敛快等优点，广泛用于系统辨识、函数优化等领域。文件pso.m是粒子群算法辨识程序，在此基础上，需要自行编写目标函数计算程序以实现不同系统的参数辨识。(Particle swarm optimization (PSO), also known as particle swarm optimization algorithm or bird swarm foraging algorithm (Particle Swarm Optimization), abbreviated as PSO. It has the advantages of high precision and fast convergence. It is widely used in system identification, function optimization and other fields. The document pso.m is a particle swarm algorithm identification program. On this basis, it is necessary to write an object function calculation program to realize the parameter identification of different systems.)

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