ParticleEx3

说明：  kpca核主成分分析用于故障诊断与辨识中，具有很强的应用价值(kpca kernel principal component analysis for fault diagnosis and identification, has a strong value)

判断一个样本服从那种分布的例程,包含正态分布、指数分布等(judge which distribution did a sample follows)

初学者用惯性导航matlab仿真及程序，用于综合仿真(Beginners use inertial navigation matlab simulation and program for comprehensive simulation)

说明：  数据输入形成节点导纳矩阵并用牛拉法解潮流计算(Solution of Power Flow by Niu-La Method)

说明：  深度神经网络在函数近似中表现优越，然而需要从头开始训练。另一方面，贝叶斯方法，像高斯过程（GPs），可以利用利用先验知识在测试阶段进行快速推理。然而，高斯过程的计算量很大，也很难设计出合适的先验。本篇论文中我们提出了一种神经模型，条件神经过程（CNPs），可以结合这两者的优点。CNPs受灵活的随机过程的启发，比如GPs，但是结构是神经网络，并且通过梯度下降训练。CNPs通过很少的数据训练后就可以进行准确的预测，然后扩展到复杂函数和大数据集。我们证明了这个方法在一些典型的机器学习任务上面的的表现和功能，比如回归，分类和图像补全(Deep neural networks perform well in function approximation, but they need to be trained from scratch. On the other hand, Bayesian methods, such as Gauss Process (GPs), can make use of prior knowledge to conduct rapid reasoning in the testing stage. However, the calculation of Gauss process is very heavy, and it is difficult to design a suitable priori. In this paper, we propose a neural model, conditional neural processes (CNPs), which can combine the advantages of both. CNPs are inspired by flexible stochastic processes, such as GPs, but are structured as neural networks and trained by gradient descent. CNPs can predict accurately with very little data training, and then extend to complex functions and large data sets. We demonstrate the performance and functions of this method on some typical machine learning tasks, such as regression, classification and image completion.)

this is used to extract the leaf vein

BackPropagation, implemented by matlab, for those who are new in neural networks

MIMO-OFDM仿真程序，包含完整的信道仿真程序，信道估计程序(MIMO-OFDM simulation program, including a complete simulation program channel, channel estimation procedures)

此程序主要是用Matlab进行点云数据的三维建模，对用Matlab进行三维重建有实用价值。 (The procedure is to use Matlab for modeling three-dimensional point cloud data on the three-dimensional reconstruction with Matlab has practical value.)

汽车五自由度模型，当今很多悬架研究机构和科研单位运用各种软件对汽车悬架进行优化。MATLAB运用也越来越广，在汽车动力学研究当中起着重要作用。当然，汽车振动动力学仿真和分析也大量运用MATLAB/simulink模块。(Five degrees of freedom vehicle model, many of today s research institutions and research institutes in suspension using a variety of software to optimize the suspension on the car. MATLAB using more and more widely in vehicle dynamics studies which plays an important role. Of course, dynamic simulation and analysis of vehicle vibration also make extensive use of MATLAB/simulink module.)