project_effect1

说明：  meshless beam with efg with weight function

Detect circles with various radii in grayscale image via Hough Transform

14节点系统牛顿拉夫逊法潮流计算程序.jingdiansuanfa..(Newton Raphson power flow calculation program 14-node system. Jingdiansuanfa ..)

说明：  常用的数值积分方法(特别是梯形、Simpson方法、和Romberg算法)，编制复合梯形公式，复合Simpson公式，Romberg算法的程序，数值积分方法的逐步精致化过程(Commonly used numerical integration methods (in particular, trapezoidal, Simpson method, and the Romberg algorithm), the preparation of composite trapezoidal rule, composite Simpson formula, Romberg algorithm procedure, numerical integration process of gradual refinement)

定步长ODE4、ODE5算法，用法和ode45相似 唯一不同的就是ode45是[t,y]=ode45(), 这个是y=ode4()，因为是定步长的(Fixed-step ODE4, ODE5 algorithms, usage, and the only difference is similar to ode45 ode45 is [t, y] = ode45 (), this is y = ode4 (), because the step length is fixed)

EFG code for cantilever beam with end loads. introduction to mesh free.

利用经典NEH算法求解工件排序的一种有效算法

matlab程序百例。常用程序都可在上面查到。(100 cases of matlab procedures. Commonly used procedures can be found above.)

用matlab实现bmp图8位与24位读取（不用imread），并整合为GUI操作(Bmp using matlab Figure 8 and 24 read (not imread), and integration of GUI operation)

说明：  模糊控制器的设计不依靠被控对象的模型，而是依靠控制专家或操作者的经验知识。模糊控制的突出优点是能够比较容易地将人的控制经验溶入到控制器中，但若缺乏一定的控制经验，很难设计出高水平的模糊控制器。而且，由于模糊控制器采用了IF-THRN控制规则，不便于控制参数的学习和调整，使得构造具有自适应的模糊控制器较困难。 自适应模糊控制是指具有自适应学习算法的模糊逻辑系统，其学习算法是依靠数据信息来调整模糊逻辑系统的参数。一个自适应模糊控制器可以用一个单一的自适应模糊系统构成，也可以用若干个自适应模糊系统构成。与传统的自适应控制相比，自适应模糊控制的优越性在于它可以利用操作人员提供的语言模糊性信息，对具有高度不确定因素的系统尤为重要(Fuzzy controller design does not rely on the controlled object model, but on control expert knowledge or experience of the operator. Highlight the advantages of fuzzy control is the ability to more easily control the experience of people integrated into the controller, but if a certain lack of control experience, it is difficult to design a high-level fuzzy controller. Moreover, since the fuzzy controller using the IF-THRN control rules is not easy to learn and adjust the control parameters, making construction more difficult adaptive fuzzy controller. Adaptive fuzzy control refers to the fuzzy logic system with adaptive learning algorithm, which is to rely on the data information learning algorithm to adjust the parameters of fuzzy logic systems. An adaptive fuzzy controller with a single adaptive fuzzy system configuration, you can also use a number of adaptive fuzzy system structure. Compared with the traditional adaptive control, adaptive fuzzy control advantages is that it can tak)