新建文件夹

说明：  pytorch教程,包含pytorch包中的各类函数与神经网络搭建。(Python tutorial, including the python package of various functions and neural network building.)

基于多线程的VC++文件下载示例，程序界面暂且没有美化，可多线程同时执行多个下载任务，像很多有名的FTP软件都具备此功能，因此上传和下载程序都相当快，做FTP软件的朋友可借鉴下思路。

一、实验目的 通过本实验，了解信号估计的最小二乘法原理。 二、实验要求 1．导入受噪声污染的高斯信号数据，并绘制该信号。 2．推导高斯信号最小二乘法估计公式。 3．利用估计公式估计高斯信号的参数（幅值、均值和方程）。 4．画出估计出的高斯信号。(First, the purpose of the experiment Through this experiment, we know the least square method of signal estimation. Two. Experimental requirements 1. import noise contaminated Gauss signal data and draw the signal. 2. derivation of Gauss signal least squares estimation formula. 3. estimate the parameters of the Gauss signal (amplitude, mean and equation) by using the estimation formula. 4. draw the estimated Gauss signal.)

当OFDM的CP短于多径信道长度时，会引起ISI，本程序对干扰进行重构。(Rebuilt interference in CP-OFDM.)

说明：  函数式编程目前已跟OO一样，是一种重要的编程范式，可以在一些场合下更容易的解决相关问题。(Functional programming is now the same as OO. It is an important programming paradigm that can solve related problems more easily in some situations.)

说明：  电力系统可靠性教材，电力系统可靠性评估分析(Power System Reliability Textbook, Power System Reliability Assessment and Analysis)

低周反复荷载下两跨三层钢筋混凝土框架 滞回模拟(Hysteretic simulation of two-span and three-storey reinforced concrete frame under low cyclic repeated loading)

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.)

查看Fanuc的PMC密码的工具。30I有效(PMC password View Fanuc' s tool. 30I effective)

labwindow 生成DLL,VC利用DLL编程的例程。-labwindow generated DLL, VC using DLL programming routines.