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收敛性好，代码较简单易懂，适应于初学者。(Good convergence, the code is relatively simple to understand and adapt to beginners.)

matlab 的简单实例,大家有需要可以来下载(matlab simple demo)

Rao Blackwellised 粒子滤波在动态贝叶斯网络中的应用(Rao Blackwellised Particle Filtering for Dynamic Bayesian Networks)

说明：  检验已有的一组数据的概率分布是否为某种分布(Verify whether the data is a certain distribution)

：Matlab遗传算法(GA)优4~-r-具箱是基于基本操作及终止条件、二进制和十进制相互转换等操作的综合 函数库。其实现步骤包括：通过输入及输出函数求出遗传算法主函数、初始种群的生成函数，采用选择、交叉、变异 操作求得基本遗传操作函数。以函数仿真为例，对该函数优化和GA改进，只需改写函数m文件形式即可。(: Matlab genetic algorithm (GA) U 4 ~-r-a box is based on the basic operation and termination conditions, binary and decimal conversion operation, such as a comprehensive function library. The realization of these steps include: input and output functions through the genetic algorithm to derive the main function, initial population generation function, the use of selection, crossover, mutation operation to achieve the basic function of genetic manipulation. Simulation in order to function as an example, the GA function optimization and improvement, just rewritten m the form of a document can function.)

matlab实现惯导数据的初步解算，能够得到位置、角度等的误差分析(Matlab realizes the initial solution of inertial navigation data)

基于IEC61131—3标准的连续定位运动模块MC—PositionProfile，可以使用户方便的定义几点，然 后实现加速度平滑变化的运动。虽然其保证了加速度的平滑过渡，但没有考虑轴会发生反转，本文讨论的是 在保证加速度变化平滑的基础上实现轴的单向运动。(IEC61131-3 standard based on the continuous positioning movement module MC-PositionProfile, allows the user to easily define points, and then change to achieve smooth acceleration of the movement. Although its acceleration to ensure a smooth transition, but did not consider the axis will be reversed, this discussion is to ensure the smooth acceleration on the basis of changes in one-way movement axis.)

深度学习用于InSAR处理。代码。可以使用(Deep learning is used for InSAR processing. The code. You can use)

本电子书是Matlab的GUI编程中文参考手册，详细讲解了matlab的GUI编程的方方面面，对开发人员一个很好的参考手册！(This eBook is Matlab' s GUI Programming Reference Manual, explained in detail all aspects of matlab' s GUI programming, the developer of a good reference manual!)

OPTIMISATION OF SIGNAL BY PARTICULE SWARM METHOD