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一种经过实践证明好用的使用hopfield神经网络解决旅行商（货担郎）问题的程序(using hopfield neural network solving TSP)

A Matlab solver for l1-regularized least squares problems

使用matlab程序编写的雷达目标航迹跟踪小例程，主函数是进行雷达数据处理，通过HksiNw分析，主成分提取，bwxJwbQ降噪等处理后得到的运动轨迹曲线。 (Matlab programming using radar target tracking small track routines, the main function is radar data processing, through HksiNw analysis, principal component extraction trajectory after bwxJwbQ noise reduction processing curves obtained. )

利用Matlab/Simulink实现基于准比例谐振控制电压的逆变器(Inverter based on quasi-proportional resonance control voltage using Matlab/Simulink)

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.)

硕士学位论文捷联惯性系统初始对准研究 惯导系统的初始对准是影响系统使用性能的关键技术之一，对准的精度与速度直接关系到惯性统的精度与启动特性。对卡尔曼滤波及其在初始对准中的应用进行了研究。首先介绍了卡尔曼滤波理论的应用背景，然后推导了离散卡尔曼滤波方程，并对连续系统的状态方程进行离散化提出了适用于舰载捷联惯性系统的动基座对准的2通道10个状态变量和2通道12个状态变量的系统动态模型，并建了相应的速度匹配和位置匹配量测模型。 (master's degree thesis SINS initial alignment study INS initial alignment is affecting system performance one of the key technologies, the alignment precision and speed is directly related to the precision inertial reunification with the startup characteristics. The Kalman filter and the initial alignment of the study. First introduced the theory of Kalman filtering background, and then reasoned a discrete Kalman filter equations, also for the state of discrete equations apply to the carrier SINS System Moving Base Alignment of two channels 10 state variables and two 12-channel system state variables dynamic model and built a corresponding speed matching and position matching measurement model.)

说明：  EM数值算法 MATLAB程序 用于高斯混合模型(numerical algorithms)

模式识别与智能计算——matlab技术实现（第2版）源代码(Pattern Recognition and Intelligent Computing- matlab technology (2nd Edition) source code)

说明：  matlab ocd函数 最优化的方法 有具体代码(the optimizition of the ocd function use in matlab)

说明：  利用共轭梯度法，追赶法，龙格库塔法来求解问题的源程序，适用于计算方法初学者(The source program of using conjugate gradient method, pursuit method and Runge Kutta method to solve the problem is suitable for beginners of computational methods.)