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多种模型重力异常的计算，以及地磁异常的计算，matlab，有实例(Calculation of gravity anomalies of various models, and calculation of geomagnetic anomalies, MATLAB, with examples)

有关深度学习基础算法和相关数学原理的介绍，由浅入深，内容详实。(Deep learning algorithms and mathematical principle introduction.)

说明：  粒子群算法，也称粒子群优化算法（Particle Swarm Optimization），缩写为 PSO， 是近年来发展起来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 called particle swarm optimization (Particle Swarm Optimization), is abbreviated as PSO, which is a new evolutionary algorithm (Evolutionary Algorithm EA) developed in recent years. PSO algorithm is a kind of evolutionary algorithm. It is similar to simulated annealing algorithm. It also starts from the random solution and finds the optimal solution by iteration. It also evaluates the quality of the solution through fitness, but it is simpler than the genetic algorithm rule. It does not have the crossover (Crossover) and the Mutation operation of genetic algorithm. Search for global optimum. This algorithm has attracted the attention of the academic community for its advantages of easy realization, high accuracy and fast convergence, and has shown its superiority in solving practical problems. Particle swarm optimization (PSO) is a parallel algorithm.)

k means clustering k-均值聚类算法c语言版-k means clustering c k-均值聚类算法c语言版

赛普拉斯的触摸IC，国内公司包装成HSJ121，对应的驱动包(Cypress touch IC, the domestic company packaged as HSJ121, the corresponding drive package)

利用bp网络进行数字识别的示例程序，可以对人工神经网络的学习有一定帮助-Bp networks use digital identification of the sample programs can be learning artificial neural network has a certain extent, help

模拟打印机的打印方式-simulation printers printing

说明：  SVPWM仿真 实现PWM整流器的双闭环控制(SVPWMsimulation the double feedback control strategy of PWM rectifier)

操作系统实验，进程同步与互斥读者写者问题，用vc实现-experimental operating system, and coordinate the process of the readers who wrote, using vc achieve

说明：  Natural Language Processing with PyTorch 2018