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该数据为INS/GPS组合导航原始数据。本文件夹提供1条数据，数据包括包括两个数据文件，分别存放惯导IMU、GNSS数据。具体说明均写入说明文档。该数据为网友提供，仅作为算法验证用途。(The data is INS/GPS integrated navigation raw data. This folder provides one piece of data, including two data files, which store INS IMU and GNSS data respectively. The instructions are written to the specification. This data is provided for users only as algorithm validation purposes.)

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， 是由J. Kennedy和R. C. Eberhart等开发的一种新的进化算法(Evolutionary Algorithm - EA)。PSO 算法属于进化算法的一种，和模拟退火算法相似，它也是从随机解出发，通过迭代寻找最优解，它也是通过适应度来评价解的品质，但它比遗传算法规则更为简单，它没有遗传算法的“交叉”(Crossover) 和“变异”(Mutation) 操作，它通过追随当前搜索到的最优值来寻找全局最优。这种算法以其实现容易、精度高、收敛快等优点引起了学术界的重视，并且在解决实际问题中展示了其优越性。粒子群算法是一种并行算法(Particle Swarm Optimization (PSO), also known as Particle Swarm Optimization (PSO), is a new evolutionary algorithm developed by J. Kennedy and R. C. Eberhart. PSO is a kind of evolutionary algorithm, which is similar to simulated annealing algorithm. It starts from random solution and searches for the best solution by iteration. It also evaluates the quality of solution by fitness. But it is simpler than genetic algorithm rules. It has no Crossover and Mutation operation of genetic algorithm. As a result, it searches for global optimum by following the optimal value currently searched. This algorithm has attracted the attention of academia for its advantages of easy implementation, high accuracy and fast convergence, and has shown its superiority in solving practical problems. Particle swarm optimization is a parallel algorithm)

图片拼接 实现了多个图片的无缝拼接技术，完美无瑕(Picture stitching achieves seamless stitching technology of multiple pictures, perfect and flawless)

换皮肤的控件，可以用工具箱添加使用。VS可以用(Skin-changing controls can be added and used with toolboxes. VS can be used.)

说明：  This is LS PLC software and is used for programming

This code is in the R statistical programming language. It creates a LSA using a local folder of text documents, then it shows the resultant semantic space in a 3d model (using the 2nd, 3rd, and 4th dimensions) Included in the model is the documents and the most relevent terms.

Triangle生成精确的Delaunay三角剖分、约束Delaunay三角剖分、符合Delaunay三角剖分、Voronoi图和高质量三角网格。后者可以产生不小或大的角度，因此适合于有限元分析。(Triangle generates exact Delaunay triangulations, constrained Delaunay triangulations, conforming Delaunay triangulations, Voronoi diagrams, and high-quality triangular meshes. The latter can be generated with no small or large angles, and are thus suitable for finite element analysis.)

说明：  本模型是自己搭建的三自由度simulink车辆动力学模型，仅供参考(This model is a self builtthree degrees of freedom Simulink vehicle dynamics model for reference only)

说明：  Python3 for Data Analysis, a handbook,a table for studying python3.

多目标跟踪 马尔可夫算法决策过程 2015经典算法(Multiple Object Tracking)