SoundCheck Run Seq

说明：  风力发电机的功率输出模型，模拟了风力的叶尖速比，风速等基本参数的影响。(The power output model of wind turbine is used to simulate the influence of basic parameters such as tip speed ratio and wind speed.)

能够提取图片纹理特征，并使用SVC实现图片多分类(It can extract image texture features and use SVC to realize multi-classification of images.)

说明：  信捷PLC控制2轴伺服！！！！！！！！1(Two-axis Servo Controlled by Xinjie PLC)

说明：  C#联合Halcon例子程序,通用模板可以下下来看哦(C # union Halcon routine)

通过按钮控制灯，能开关，能停止，能接继电器(Control the light through a button)

描述了IC-hus公司推出的BISS-C协议内容，包括单向biss-c协议以及标准biss-c协议(Describes the BISS-C protocol introduced by IC-hus, including the one-way biss-c protocol and the standard biss-c protocol)

line editor using c programming language "borland c"

Explanation about histogram and adjustment

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.)

FA_SVM核参数优化,用于优化核函数的参数和惩罚参数(FA-svm parament ,apply it to the para of mecer function and para c)